TWI315042B - Method of three-dimensional digital human model construction from two photos and obtaining anthropometry information - Google Patents

Method of three-dimensional digital human model construction from two photos and obtaining anthropometry information Download PDF

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TWI315042B
TWI315042B TW95143107A TW95143107A TWI315042B TW I315042 B TWI315042 B TW I315042B TW 95143107 A TW95143107 A TW 95143107A TW 95143107 A TW95143107 A TW 95143107A TW I315042 B TWI315042 B TW I315042B
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Fang Jing-Jing
Chen Chih-Hung
Leong Iat-Fai
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Jing Jing Fan
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1315042 九、發明說明: 【發明所屬之技術領域】 、、目,丨夕if明係關於一種從相片建構三維數位人體模型及其三維計 is片資:糾目機取得的人體正面與侧^ 人體特徵點、特徵高與特徵寬,使得重三 姓果,而τΐϊί全保存完整二維⑽特徵,並產生合理之=维 ΞΪ所三維數位人體模型;並根茲 rm】純概長計齡式,麟三維人斷測結果。 尺寸、!要的’舉凡開發各類服掷設計的 據或r國防工業所需數 ^身,據經過4= 外,建立國人的人體牿撒;w除’商口口认汁方面 量得的:也有所1=22:=量測者相_ ί=費的=失如r然改善=== 乏唯======侧取特徵點仍然缺 丨Μ人工選取時縱同一人都很難在百萬雲 4 1315042 點中重複選到同一點,更何況是不同人對同一項資訊的認知,其 ^異性絕對更大。因此後有國内的研究者陳治評(見附件參考文 ^ 31)提出自動搜尋掃描人體雲點上的特徵,並依照特徵將人體 結構化的方法,該方法改善了上述手動選取導致的缺失。更有美 國與歐盟跨國執行數年的凱撒(CAES AR)計畫(見附件參考文獻 33) ’在掃描人體特徵上貼72顆標記點,以減輕人工選點耗時費力 =工作,惟其仍衍生與人工選點雷同的問題,即黏貼的標記點可 月b錯置、可能遺漏,以及實施人員對人體特徵點的認知亦有所差1315042 IX. Description of invention: [Technical field to which the invention belongs], 目, 丨 if 明 关于 关于 关于 关于 关于 if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if if The feature points, feature height and feature width make the three surnames, while τΐϊί saves the complete two-dimensional (10) features, and produces a reasonable three-dimensional digital human body model; and roots rm] purely long-aged, Lin Three-dimensional human test results. Dimensions, !! 'Where the development of all kinds of clothing design or the number of defense industry needs, according to 4 =, the establishment of the human body of the human body; w in addition to the 'mouth mouth and mouth juice : Also have 1 = 22: = measure the phase _ ί = fee = loss as r improve === lack of only ====== side take feature points are still missing manually selected by the same person It is difficult to repeatedly select the same point in the million cloud 4 1315042 points, not to mention the different people's perception of the same information, and its heterogeneity is absolutely greater. Therefore, the domestic researcher Chen Zhiju (see Attachment Reference ^ 31) proposed a method of automatically searching for features on the cloud point of the human body and structuring the human body according to the characteristics. This method improved the lack of the above manual selection. There are also Caesar (CAES AR) programs that have been implemented in the United States and the European Union for several years (see Attachment Reference 33). 'Pipe on the scanning of human features 72 points to reduce the time and effort required for manual selection = work, but it is still derived The same problem as manual selection, that is, the marked points can be misplaced, may be missed, and the implementation personnel's perception of human features is also poor.

,丄故仍非理想。再者由於人體掃描機並非民生必需品,其價格 叩貝且不普及’所以使企圖藉由掃描雲點重建三維數位人體之舉 =,在不同性別與不同年齡層身材的多樣變化上難以採取結構化 數位人體技術做到涵蓋所有可能的特徵搜尋,致其結構化上的 健性仍有待加強。 但不可倾,近年來线三維人體麵的技術確有多方面的 = 據附件參考文獻19所載,重建三維人體模型的技術分為 =個主要的方向。-為姻三維人歸域取得掃描點資料後, 學方法重建出人體觀。二騎量到人體掃描機不夠 曰及以及為了更快速的建立數位人體’而在重建的方法 ίίΖίϋί業知識,以期使用相片來取代掃描機作為重建人 分佈,以此發展出_插方 if it ^ 來重建三維紐人__研究中, =的技術又可分為兩種’―是將職雲點經去雜訊、特徵搜尋 八曲面擬合等步驟,直接以掃描點資料為基礎建 是準化祕树鋪型,配合最= ^ n 近掃重構出三It is still not ideal. In addition, since the human body scanner is not a necessity for people's livelihood, its price is mutex and not popular. So it is difficult to adopt a structural change by changing the three-dimensional digital body by scanning cloud points. Digital human technology has covered all possible feature searches, and its structural robustness still needs to be strengthened. However, it is not pourable. In recent years, the technique of three-dimensional human body surface has many aspects. According to the attached reference 19, the technology for reconstructing the three-dimensional human body model is divided into = main directions. - After obtaining the scanning point data for the marriage of the three-dimensional person, the learning method reconstructs the human body view. The second ride to the human body scanner is not enough, and in order to build a digital body more quickly, and in the reconstruction method ίίΖίϋί industry knowledge, in order to use the photo to replace the scanner as a reconstruction of the human distribution, in order to develop the _ insert if it ^ To reconstruct three-dimensional newcomers __ research, = technology can be divided into two kinds of - is the job cloud point to go to the noise, feature search eight surface fitting and other steps, directly based on the scanning point data is based on The secret tree paving type, with the most = ^ n

Wa^g (見附件參考文獻26) #人在重建犯人體模型的^法上分 J數個步驟來重建’包括:去雜點;掃插正,使 向以方便後續的特徵搜尋,·分割點群為頭部、麟、f手疋右的手方 1315042 左腿、右腿六個區塊。分別利用圓柱座標選點的方法建立六個區 塊網格;在s倾塊的連接處崎—層資料點,以連 塊,最後針對掃描點上資料缺少的區域進行補點。在去除 分割點群時’則應用了崎的概念,建立相關的成員函、數”、 (membership fimCti〇n)來幫助判斷。而Wang等人也發展了另 描接重新建構三維人體模型的方法(見附 件參考文獻27) ’其重建人體模型有三個步驟:(一 的概念從掃描點資料找出特徵點並利用特徵點建構出人^ ;(二)在原始掃描雲點上將特徵點連線定出特 徵曲線,利用特徵曲線修改拓撲圖以得到初步的人體模型〗Wa^g (see Attachment Reference 26) #人 In the reconstruction of the human body model, the method of J is divided into several steps to reconstruct 'including: removing the noise; sweeping the positive, making the direction to facilitate the subsequent feature search, · segmentation The point group is the head, the lin, the f hand, the right hand 1315042, the left leg, the right leg, six blocks. Six block grids are created by using the method of selecting the points of the cylindrical coordinates; the s-block data points are connected at the s-dump block, and the blocks are added, and finally the areas missing from the data on the scan points are complemented. When removing the segmentation point group, 'the concept of Saki is applied, and the related member letter, number, and (membership fimCti〇n) are used to help the judgment. Wang et al. also developed a method of re-constructing the three-dimensional human body model. (See Attachment Reference 27) 'There are three steps in reconstructing the human body model: (the concept of one is to find the feature points from the scanning point data and construct the person using the feature points; (2) to connect the feature points on the original scanning cloud point Line to determine the characteristic curve, use the characteristic curve to modify the topology to get the initial human body model〗

將人體初步賴韻由最佳化方法鱗描點資料做比較,調整^ 型曲面的形狀以得到細節的部份。而從掃描點到建立參數 D 模型之間’最常出現的問題是建立出來的網格會有相互交的 ^而導致接下來_面擬合產生錯誤的結果,甚至無法順利擬 二’因此Barhak等人(見附件參考文獻3)便提出了兩個建立夂 ,,格的方法來避免此—問題的產生,—為使用偏微 式,一為使用類神經網路(neuralnetw〇rk)的方法來建立。 人體掃描時通常在腋下與胯下等區域無法取得完整掃描, 是一般從掃描點重建三維人體最常遇到的問題。 ° 型以擬合近轉魅髓,也是銳三雜位人_ jug 二j如Seo等人(見附件參考文獻21)提出的以樣板模型 ,重構3D人醜型方法,其樣板模型的結構分為骨架與皮^土 格,月架用以決定三維人體的姿勢,皮膚網格用以決定體表的妒 狀’他們细最佳化方法將樣板模型骨架特徵點對應到掃描點 ^上對應的特徵點的位置,並且利用最佳化方法將樣板模型的皮 膚網格對應到掃描點資料上,並作細部的修改。而這種建構方^ J優·,在於’可以事先定義骨架與皮膚網格之間特徵點的相對關 ^ ^且過程為全自動’因此只要修改鈴的參數,就可以修 整個建構出來的難。另有:u等人(見附件參考文獻12)所提出 1315042 乃重,二巧人體的方法是利用資料點整體映射(globalmapping) 局部變形(1〇caldef〇rmati〇n)的技術。其整體映射的作法,是 掃=資料無滅雜徵點d㈣應_,該對應關係則 ^向量來表示特徵點在X、γ、Z各方向上所需要位移的大小與 。,對於特徵點外的變形量,則用放射狀基底函數(radialbasis ^tK>,η)來建立内插_係式。經過了初步的變形之後,便可將樣 上巧特徵點自動移動到與掃描資料的特徵點相同的位置, =則藉由局部變形來做細部的修改。局部變形的方面,先搜 細麵上網格的節點(nQde)最接近輯描點資料,再將 去而完成。又有Allen等人(見附件^文=) _ l由最佳化方絲將馳點資料雛板的網格擬合,並且掃 :點資的標記點(markers) ’這樣的方法對於掃 ==後處理非常方便,可以簡化特徵點搜尋與補點的步 Μ 法將化的時間。附件參考文獻1使用了最佳化方 畴描點資制位置,其目標函數是由三個 ,的,組合,;包含了資料點誤差(dat讀。小平滑化誤差 尚^)t ^票記點誤差(marker_r)。而各個項在擬合的 Ϊ果。,針對不同部位調整不同的權重,來達到比較好的 型,體的做法優點有二—為使用樣板模 得到體型的資訊外,在彩色相片中也能得 色=lto=rr=術就能夠得到更為 左右四?等(見附件參考文獻11)藉由前後 Φ /ra-r '«ΛΑ衫像上數個特徵點資訊,修改樣板模型重建 出一個可以用來製作動書的T又俅极恢玉里恧 授夢刭二雒孚&卜313人體模型。其做法是先將樣板模型 影影像的相對關係 三維的樣板模型投影到二版投娜像變形。因為從 雅的關係式為已知,便能從已變形過的 7 1315042 投影影像反運算回去三維賴型。最後再加由上相#來的色 訊,便完成一個可以用來製作動畫的簡易3D模型。另有乙從人 (見附件參考文獻U)難的建構人齡方法則是由五張 (頭部正面與側_張’全身正面、侧面與背面三張)取得資;^, 提供使用者手動選取照片上的特徵點,以找出相片中的特徵輪 廓。參考人雜廓’使關單的線仙插使樣版觀變形 合彩色貼圖則可得到最後的結果。至於Wang等人(見附件參考文 t 正面與側面相片取得特徵點的資 再修改樣板模型以達到重建3〇人體模型的目的。由於在樣板 模型上已經定義了-些特徵圍線,因此重建出來_型能夠很有 巧的應用在服裝設計方面。而對於根據二維資訊修改三維樣板模 3L的技術,由於已知的資訊只有兩個正交的平面,所以使用丄 座標轉換财_三轉補魏雜雜放,但是不同尺 f之間的差異是非雜的,賴該方法在某些概圍上便會產生 較大的誤差。 以統計分析為基礎重建三維人體模型的方法是藉由混合 (blendmg)兩個或以上的人體模型來產生目標人體模型。因此該方 法便需要搜集大量的數位人赌型,齡析各特徵_關性以建 ^-個值域’耻在重建人顧型時便紐伽雜供的特徵, 在值域中選擇相近的人體模型做混合。因此有 ^agnement-Thalmann等人(見附件參考文獻18)利用了統 $Dt贿獅方法,並且將實作的絲在轉上的虛擬試 :供使用者藉由調整八個參數來重建出近似的身材, 的結果。在重建三維人體模型上,參考文獻18所使 丄法为為二個步驟完成,首先對應樣板模塑應到掃描點,其 3 人人個參數;最後分析統計學上人雜徵資訊分別 ,應/個參數到相騎轉換矩陣’就可以得到個別的犯人體模 二,方法所得出來的人體模型雖然會在合理的範圍,但是不 -定能確實的表現出個人的翻特徵,因此在财喊覺上便產 8 1315042 生相當程度的誤差。又有Seo等人(見附件參考文獻21、22、23) 利用人體測量學取得3D人體的特徵,再進行主元件分析(principle component analysis ; PCA)得到較有代表性的一組特徵向量。介 面上則是改變特徵向量,以調整3D人體模型的外觀。而在内部的 運算則是從有各種身高體型的3D人體模型的資料庫建立一個特 徵空間,其内部資料庫量的多寡將直接影響到最後得到的結果的 精確,。使用者輸入的特徵向量經分析後會落在該空間内的某一 點,最後藉由該資料庫中數個已知的人體模型來做内插得到最後 的結果。該等參考文獻除了在較具有代表性的人體特徵長度、圍 長等數據使用這種特定姿勢空間形變(p〇sespacedef〇rmati〇n ; PSD)的方法之外,也將兩個關鍵性的參數導入這種變形方法内, 包含體脂率(fatpercentage)、腰慨(hip_waist_mtio>藉由這兩 個參數以及PSD的做法,可在電腦上模擬個人的胖痩變化。 自由曲面變形的研究結果一般常應用於模擬人體的動作與表 情變化。在人體外表的動誠擬上,這些研究絲所使用的方法 都有一個共同的缺點,那就是在一些表面彎曲的地方會有不合理 ^凹陷i Lewis等人(見附件參考文獻15)所提出的觀念,則 ^從相富多的已知> 料來建立一個姿勢空間印咖),任一種 3該空間⑽狀骑可以料些已知的資料來做喃,内插的 、、可以使用Shepard’s method、放射狀基底函數(radial basis notion)' ^1:^^ (energyfunctions) (convex :methods) ’所以做出來的結果會更逼真。而在人體特徵的部份 ,可以藉由建立類似的特徵空間,再經由適當軸插方式,從已 知的特徵資料來建立更逼真的3D人體模型。 &+ί於BlanZ等人(見附件參考文獻5 )對於臉部模型重建的方 二他Υ ί一般二維人體模型重建的技術。觀念上都是先建立一個 ίτΠ體模型的資料庫,再針驗部的雛進行分析,進而建立 向4 ’制者經·整這組舰向量就可以建構出不同 卜貌的臉部’最後再由㈣雜照該槪向量產生_組3D臉部樣 1315042 ^。該模型在臉部的特徵向量分為二維貼圖與三維外型兩個部 =’且兩者之财-對應_係式。因此除了由使用者手動調整 參數來建構三_臉部觀之外,可藉由輸人二_臉部照片經 ,類似影像變形(morphing)的技術來改變樣板模型的二維貼圖,再 藉由二維貼圖與三維幾何外形的關係式得到所要的臉部模型。 ,以上諸多習知參考文獻所揭示之各種關於重建三維數位人體 模型的方法,在在顯示這是一個深具產業利用價值,而值得投注 心血進5研發的課題。故本發明即亦針對如何利用至少二張相片 f建構三維數位人體模型的方法進行改進研發;並且進一步根據 • 模型上所建立之最小外包特徵長計測公式,而獲得三維人體計測 結果,期盼做到以兩張相片產生三維人體計測技術的銜接與實 現。針對此方面經多方面努力終獲致本發明之成果’故而提出申 請。 【發明内容】 緣是,本發明之主要目的即在提供一種從相片建構三維數位 模型之方法,主要在於㈣快速有效地重建出近似相片 的二維數位人體模型,大幅提昇人體細微擬真。 本發明之再一目的,乃針對人體各特徵建立二維人體計測 疋義祕並開發相關數學公式’據此可自紐尋正侧面影像輪廓上 徵點、·高與特徵寬,使得重建的三維數位人體模型 完整保存二維輪廓特徵’並產生合理之三維結果,以:維 型在凹凸細微處之擬真程度。 —維模 本發明之另一目的,乃推導變形量的數學方程式,以快 對樣板模型完成變形,魅生職要的三減位人職型。、辦 本發明之又一目的,乃進一步根據模型上所建立之最小 特徵^相公式’而獲得三維人體計測結果,以做到由兩^ ^生三維人體計測技術的銜接與實現,據以建立三維人體計測& 本發明之一係一種從相片建構三維數位人體模型之方法,主 1315042 及側面照片丄),的人體正片 取得的影像手動處理,經過圈廓取得:將前述 特^寬Ϊ徵搜f \從該輪廓上求取特徵點、特徵高、 整樣板模型,而重建出二Compare the initial anatomy of the human body with the scaled data of the optimization method, and adjust the shape of the curved surface to obtain the details. The most common problem between the scanning point and the establishment of the parameter D model is that the created meshes will intersect each other and cause the next _face fitting to produce erroneous results, even failing to correctly formulate two. So Barhak Etc. (see Attachment 3) proposes two ways to establish 夂, 格, to avoid this problem, to use a partial micro, and to use a neural network (neuralnetw〇rk) To build. When the human body scans, it is usually impossible to obtain a complete scan in areas such as underarms and underarms. It is the most common problem encountered in reconstructing three-dimensional human bodies from scan points. ° type to fit the close charm, is also the sharp three miscellaneous people _ jug two j as Seo et al. (see Attachment Reference 21) proposed model model, reconstruct 3D human ugly method, the structure of its model Divided into skeleton and skin ^ soil grid, the moon frame is used to determine the posture of the three-dimensional human body, and the skin mesh is used to determine the shape of the body surface. Their fine optimization method maps the skeleton feature points of the model model to the scanning points. The location of the feature points, and the skin mesh of the template model is mapped to the scan point data by an optimization method, and the details are modified. And this construction method ^J You· is that 'the relative relationship between the feature points between the skeleton and the skin mesh can be defined in advance and the process is fully automatic'. Therefore, as long as the parameters of the bell are modified, it is difficult to repair the entire construction. . Another: u et al. (see Attachment Reference 12) proposed 1315042 is a heavy, two-dimensional human body is the use of data point global mapping (globalmapping) local deformation (1〇caldef〇rmati〇n) technology. The overall mapping method is that the scan = data has no extinction points d (four) should be _, and the corresponding relationship is ^ vector to indicate the magnitude of the displacement of the feature points in the X, γ, Z directions. For the amount of deformation outside the feature point, the radial basis function (radialbasis ^tK>, η) is used to establish the interpolation method. After the initial deformation, the sample feature points can be automatically moved to the same position as the feature points of the scanned data, and the details are modified by local deformation. In terms of local deformation, the node (nQde) of the mesh on the fine surface is searched closest to the point data, and then it is completed. There is also Allen et al. (see attachment ^ text =) _ l by optimizing the square wire to fit the grid of the data board, and sweep: point markers (markers) such a method for sweep = = Post-processing is very convenient, which simplifies the time when feature point search and complement points are processed. Attachment Reference 1 uses the optimized domain description point location, the objective function is composed of three, and combinations; contains the data point error (dat read. Small smoothing error is still ^) t ^ ticket Point error (marker_r). And the effect of each item in the fit. Adjust different weights for different parts to achieve a better type. The advantages of the body are two. In addition to the information obtained by using the model model, you can also get the color in the color photo = lto=rr= More about the left and right? (see Attachment 11). By modifying the model model by Φ /ra-r '« 像 像 数 数 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改 修改In the jade, the 刭 刭 雒 雒 && 313 human body model. The method is to first project the relative relationship of the model image and the three-dimensional model model to the second version of the image deformation. Because the relationship from ya is known, it can be reversed from the deformed 7 1315042 projection image back to the three-dimensional shape. Finally, add the color from the upper phase to complete a simple 3D model that can be used to create animations. In addition, the method of constructing the human age from the B (see Annex U) is obtained by five (head and side _ Zhang 'body front, side and back three); ^, provide users manually Select feature points on the photo to find the feature outline in the photo. The reference person's miscellaneous profile is used to make the pattern of the cut-off of the pattern and the color map to obtain the final result. As for Wang et al. (see the attached reference text t for the front and side photos to obtain the feature points of the re-modification model model to achieve the purpose of reconstructing the 3〇 mannequin. Since the feature line has been defined on the model model, it is reconstructed The _ type can be used very well in the design of clothing. For the technique of modifying the 3D model modal 3L according to the two-dimensional information, since the known information has only two orthogonal planes, the 丄 coordinate conversion _ three tonic is used. Wei miscellaneous, but the difference between different feet f is non-hetero, and the method will produce large errors in some cases. The method of reconstructing the three-dimensional human body model based on statistical analysis is by mixing ( Blendmg) Two or more human models to generate the target human body model. Therefore, this method needs to collect a large number of digital gambling types, and analyze the characteristics of the _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The characteristics of the Nigga miscellaneous supply, the selection of similar human body models in the value domain for mixing. Therefore, ^agnement-Thalmann et al. (see Attachment Reference 18) utilizes the unified $Dt bribery method, and The virtual test of the actual wire is turned on: the result of the user reconstructing the approximate figure by adjusting eight parameters. On reconstructing the three-dimensional human body model, reference 18 makes the method a two-step process. To complete, firstly, the template should be molded to the scanning point, and the parameters of the three people should be the same; the final analysis of the statistical information on the human intelligence, respectively, should be / a parameter to the phase riding conversion matrix 'you can get the individual crime model 2, Although the human body model obtained by the method will be in a reasonable range, it does not surely show the individual's turning characteristics. Therefore, in the financial screaming, it produces a considerable degree of error in 8 1315042. There are also Seo et al. Attachment References 21, 22, 23) Using anthropometry to obtain the characteristics of the 3D human body, and then performing a principal component analysis (PCA) to obtain a representative set of feature vectors. The interface is to change the feature vector. In order to adjust the appearance of the 3D human body model, the internal calculation is to build a feature space from the database of 3D human body models with various heights, and the amount of internal database. It directly affects the accuracy of the final result. The eigenvector input by the user will fall at a certain point in the space after analysis, and finally the interpolation is performed by several known human models in the database. The results of these references, in addition to the use of this particular pose space deformation (p〇sespacedef〇rmati〇n; PSD) in more representative human body feature lengths, girth, etc. Sexual parameters are introduced into this deformation method, including fatpercentage and waist (hip_waist_mtio). These two parameters and PSD can simulate a person's fat change on a computer. The results of free-form surface deformation are often used to simulate changes in human motion and expression. In the dynamics of human body surface, the methods used in these researches have a common shortcoming, that is, in some places where the surface is curved, there will be unreasonable ^ sag i Lewis et al. (see Attachment 15). The concept, ^ from the rich known of the > material to create a posture space printing coffee), any kind of 3 space (10) ride can be expected to know some of the known information, interpolated, can be used Shepard's method, radial basis notion ' ^1:^^ (energyfunctions) (convex :methods) 'so the result will be more realistic. In the part of the human body, a more realistic 3D human body model can be built from the known feature data by establishing a similar feature space and then inserting it through appropriate axis insertion. &+ί by BlanZ et al. (see Attachment Reference 5) for the reconstruction of facial models. Conceptually, we first establish a database of ίτ Π model, and then analyze the babies of the Detective Department, and then build a face that can be constructed by the 4' system. The (3) alias is generated by the 槪 vector _ group 3D face sample 1315042 ^. The feature vector of the model in the face is divided into two parts: two-dimensional map and three-dimensional shape = ' and both of the wealth - corresponding _ system. Therefore, in addition to the user manually adjusting the parameters to construct the three-face view, the two-dimensional texture of the template model can be changed by inputting the _ face photo, similar to the image morphing technique, and then by The relationship between the 2D texture and the 3D geometry yields the desired facial model. The various methods for reconstructing the three-dimensional digital human body model disclosed in many of the above-mentioned conventional references are in the display of a product that is of great industrial value and worthy of betting. Therefore, the present invention also improves and develops how to construct a three-dimensional digital human body model by using at least two photos f; and further obtains a three-dimensional human body measurement result according to the minimum outsourcing characteristic length measurement formula established on the model, and hopes to do To the connection and realization of three-dimensional human measurement technology with two photos. In response to this, efforts have been made in many aspects to achieve the results of the present invention. SUMMARY OF THE INVENTION The main purpose of the present invention is to provide a method for constructing a three-dimensional digital model from a photograph, mainly to (4) quickly and efficiently reconstruct a two-dimensional digital human body model of approximate photos, and greatly enhance the human body's subtle immersiveness. A further object of the present invention is to establish a two-dimensional human body measurement for each feature of the human body and to develop a related mathematical formula, which can be used to search for the contour of the side image, the height and the feature width, so that the reconstructed three-dimensional image The digital human body model completely preserves the two-dimensional contour features' and produces reasonable three-dimensional results to: the degree of emulation of the dimensional shape at the subtle detail. - Dimensional Model Another object of the present invention is to derive a mathematical equation for the amount of deformation, to quickly complete the deformation of the model model, and the three reduction positions of the charm student. According to still another object of the present invention, the three-dimensional human body measurement result is further obtained according to the minimum feature phase formula established on the model, so as to achieve the connection and realization of the three-dimensional human body measurement technology by the two-dimensional generation, thereby establishing Three-dimensional human body measurement & One of the inventions is a method for constructing a three-dimensional digital human body model from a photo, the main image obtained by the human body positive film of the main 1315042 and the side photo 丄), which is obtained by the circle profile: the above-mentioned special width Search f \ from the contour to obtain feature points, feature height, whole model, and reconstructed two

項目特it係界定並轉若干舰點、高及特徵寬之計測 學方程特徵銳,該等計測項目之界定定義及求取之數 一、正面求取的投影量: (一)匕〇頭頂點(HeadPoint)··人體輪廓上,ζ值最大之點, 同Ζ值不只-點時’取所有點之平均值為頭頂點;’ ^1.0 eQ/,^i.〇 = {Piiy.z) I Vz, Z = (Ω^-)}The project specializes in defining and transferring a number of ship points, heights and feature widths. The definition of the test equation is sharp. The definition of the measurement items and the number of calculations are as follows: The amount of projection obtained from the front: (1) Shantou vertices (HeadPoint)·· The contour of the human body, the point of maximum devaluation, the same Ζ value is not only - when the point 'takes the average of all points as the head apex; ' ^1.0 eQ /, ^ i. 〇 = {Piiy.z) I Vz, Z = (Ω^-)}

if Num(Fl0)^l ,then y(Fl0)If Num(Fl0)^l , then y(Fl0)

二)K頭寬(HeadBreadth):在頭部兩耳以上,最大的水平線 距離,即從頭頂點高度往下,搜尋第一次水平寬度與下一層 變化率為負的位置,該寬度紀錄為頭寬; ^=Muc(z(/)) (二)Fzol F2.0R (左、右)腋下點(Armpit Point):左、右内臂曲 線和軀幹的交點’即左半身點群從最小γ值的點開始到最 小Z值間的點群,尋找最大ζ值得左邊腋下點f2.gl,右半 身點群從最大Y值的點開始到最小z值間的點群找最大ζ 11 1315042 值得右邊腋下點f2.0R ;b) HeadBreadth: Above the head and above the ear, the maximum horizontal line distance, that is, from the height of the head apex, searches for the position where the first horizontal width and the next layer change rate are negative, and the width is recorded as the head width. ; ^=Muc(z(/)) (b) Fzol F2.0R (left and right) Armpit Point: the intersection of the left and right inner arm curves and the torso', ie the left hem point group from the minimum γ value Point to the point group between the minimum Z values, find the maximum ζ worth the left 腋 point f2.gl, the right half point group from the point of the maximum Y value to the point group between the minimum z value to find the maximum ζ 11 1315042 worth the right腋下点 f2.0R;

Suppose Ω^1ϊ_£={/>|/>€Ω^> = ^ = => Z{F2.0l) = ^max (P-armpit_L )Suppose Ω^1ϊ_£={/>|/>€Ω^> = ^ = => Z{F2.0l) = ^max (P-armpit_L )

Suppose Q^,_s={i>|/>e^} «<ί<^α = ^(^(Ω/κ))>Α=:ι·„^(ΖίΒίη(Ω^^ Z (-^2.0« ) = Zmax (^ampit_R ) (四)f2頸寬_1^_ :在頭寬Fl高度到左邊肩點^高 度間’求取同-水平高度之人體左右兩半身輪廓關的最短 鲁 距離; 細_ = > 邶) > 紙。i)}Suppose Q^,_s={i>|/>e^} «<ί<^α = ^(^(Ω/κ))>Α=:ι·„^(ΖίΒίη(Ω^^ Z ( -^2.0« ) = Zmax (^ampit_R ) (4) f2 neck width _1^_: between the head width Fl height to the left shoulder point ^ height between the height of the human body, the right and left body contours are the shortest Lu distance; fine _ = > 邶) > paper. i)}

=>F2=Min(HdisU • (五)F3.〇L F3.0R (左、右)肩點(Sh〇ulder p〇int):左、右肩部 ^ 曲率最大的一點,即左半身點群中,hdex值介於頭頂點 到最小Y值的點之間的點群,分別找出與左邊腋下點Fn 同^值的點及同Z值的點,並在此兩點之間找BV值最大 處得h.oL。右半身點群中,index值介於頭頂點到最大γ 值的點之間的點群’分別找出與右邊腋下點&皿同γ值的 • 點及同Z值的點’並在此兩點之間找BV值最大處得F3.or;=>F2=Min(HdisU • (5)F3.〇L F3.0R (left and right) Shoulder points (Sh〇ulder p〇int): Left and right shoulders ^ The point with the greatest curvature, ie the left half point In the group, the point group whose hdex value is between the head vertex and the minimum Y value, respectively find the point with the same value of the left side point Fn and the point of the same Z value, and find between the two points The BV value is the highest at h.oL. In the right half-body group, the point group between the point where the index value is between the head apex and the maximum γ value is found separately from the point of the right squat point & And the point of the same Z value 'and find the BV value between the two points to get the maximum F3.or;

Suppose Q^_iWrfer = 1 ^ 6 « < ^ < A 1 [α < index(Fz〇L), y(a) = y(F2S)l),fi< index(F2,L),z(fi) = z(F2.0L)j ^F3.〇l ~Max[BV(P^Suppose Q^_iWrfer = 1 ^ 6 « < ^ < A 1 [α < index(Fz〇L), y(a) = y(F2S)l),fi< index(F2,L),z( Fi) = z(F2.0L)j ^F3.〇l ~Max[BV(P^

Suppose ςΐ· α<ί<β’ [«>z^ex(F2,,)>z(a) = z(F,0,)^>zWex(F2,J!),j;(^) = 7(F2,,) =>F30R =Max[BV(P^) (六)F3肩寬(ShoulderBreadth):左右兩肩端點的直線距離’ 即先計算出人體輪廓點上之左右兩肩點f3〇lF3〇r,並求取 12 1315042 之間的直線距離; F3 = dist(F3〇L, F3〇r ) (七) F4胸寬(BustBreadth):左、右兩腋下點之間的直線距離, 即先計算出人體輪廓點上之左右兩腋下點F2.〇LF2.〇R,並求 取之間的直線距離; F4=dist(FZ0L,F2QR)Suppose ςΐ·α<ί<β' [«>z^ex(F2,,)>z(a) = z(F,0,)^>zWex(F2,J!),j;(^ ) = 7(F2,,) =>F30R =Max[BV(P^) (six) F3 ShoulderBreadth: The straight line distance between the ends of the left and right shoulders, that is, the left and right sides of the human contour point are calculated first. Shoulder point f3〇lF3〇r, and find the linear distance between 12 1315042; F3 = dist(F3〇L, F3〇r) (7) F4 chest width (BustBreadth): between left and right The straight line distance, that is, first calculate the left and right points F2.〇LF2.〇R on the contour points of the human body, and find the straight line distance between them; F4=dist(FZ0L, F2QR)

(八) Fs.o胯下點(CrotchPoint):左、右兩腿内曲線最高的交點, 即求取人體左、右内腿曲線中Z值最大的點,由該點朝-Z 方向1/30身高範圍,尋求在該範圍的腿内曲線的所有排序 點的中間點作為胯下點; 定義左右腿内曲線為: 在點輪廓排序條件下,由右半身最低點至左半身最低點之間 的點群所構成的曲線。(8) Fs.o CrotchPoint: The intersection with the highest curve in the left and right legs, that is, the point where the Z value of the left and right inner leg curves is the largest, from the point to the -Z direction. 30 height range, seeking the middle point of all sorting points of the curve in the range of the leg as the underarm point; defining the curve in the left and right legs as: Under the point contour sorting condition, from the lowest point of the right half to the lowest point of the left half of the body The curve formed by the point group.

Suppose Qlnside Jegli„e = ^ = Max{IWex(zmin(n/R)),IWex(zinin(Q/t))} I /? € ^insidejegUne9CC <1<β9Suppose Qlnside Jegli„e = ^ = Max{IWex(zmin(n/R)), IWex(zinin(Q/t))} I /? € ^insidejegUne9CC <1<β9

Suppose ^crotch_point=-a<index{z^{aim^^^ .Suppose ^crotch_point=-a<index{z^{aim^^^ .

β > index{ZmxK {^_^)),Ηάι5ί{β,ζ^ {aimideJegline)) = •5U ^ ^^^n^eX{^,crotch_poml)β > index{ZmxK {^_^)),Ηάι5ί{β,ζ^ {aimideJegline)) = •5U ^ ^^^n^eX{^,crotch_poml)

(九)&正面腰寬(Horizontal Waist Breadth):介於腋下點和胯 下點高度中間,軀幹左右兩侧最短的水平直線距離,即由 侧面腰寬Si所在的Z值對應到正面輪廓之腰寬; P0 e Ω^, e Ω^, z(Pa) = z(P6) = z(St) =>FS= Min{Hdistaf (Pa,Pb)) 13 1315042 (十)F6自然腰寬(Natural Waist Breadth):介於腋下點和勝下點 高度中間’軀幹左右兩側最短的直線距離,即在腋下點F2.0]L F2.or到胯下點F5.〇的Z值高度間,求取人體軀幹左右兩側 輪廓點間的最短距離;(9) & Horizontal Waist Breadth: The shortest horizontal straight line distance between the left and right sides of the torso between the underarm and the underarm height, that is, the Z value of the side waist width Si corresponds to the front contour Waist width; P0 e Ω^, e Ω^, z(Pa) = z(P6) = z(St) => FS= Min{Hdistaf (Pa, Pb)) 13 1315042 (10) F6 natural waist width (Natural Waist Breadth): The shortest straight line distance between the left and right sides of the torso between the underarm and the middle of the point, that is, the Z value at the point F2.0]L F2.or to the underarm point F5.〇 Find the shortest distance between the contour points on the left and right sides of the human torso between heights;

Supposea咖―={(Ρ(\Ρ々 Ω/,υ:ζ(^) >z(Pi)>z{FSSi))} Μ => F6 = Mm{dist(Qnearwaistline)) (H一)F7臀寬(Hip Breadth):介於水平腰寬以下,胯下點以上, 軀幹左右兩侧最大的水平線距離,即由侧面臀寬S4所在 的Z值對應到正面輪廓之臀寬;Supposea coffee -={(Ρ(\Ρ々Ω/,υ:ζ(^) >z(Pi)>z{FSSi))) Μ => F6 = Mm{dist(Qnearwaistline)) (H ) F7 Hip Breadth: Below the horizontal waist width, above the kneeling point, the maximum horizontal line distance between the left and right sides of the trunk, that is, the Z value of the side hip width S4 corresponds to the hip width of the front contour;

Suppose y(,Pa)^y{.Pb), y(Pc) = y(Pcenimid), z(Pa) = z(Pb) = z(Pc) = z(S4) A e Ω凡,g Ω负,/^ e Ω, F7 = Min(Hdista/ (Pa, Pc)) + Min(HdistQf (Pb, Pc)) (十二)FSL FSR (左、右)脖下腿寬(Thigh Breadth) : ·胯下點到(左、 右)大腿左右兩邊外侧的水平線距離,即與胯下點F50同 高之左右腿分別的水平寬距;Suppose y(,Pa)^y{.Pb), y(Pc) = y(Pcenimid), z(Pa) = z(Pb) = z(Pc) = z(S4) A e Ω where, g Ω negative , /^ e Ω, F7 = Min(Hdista/ (Pa, Pc)) + Min(HdistQf (Pb, Pc)) (12) FSL FSR (left and right) Thigh Breadth: · Underarm Point to the left (right, right) horizontal distance between the left and right sides of the thigh, that is, the horizontal width of the left and right legs at the same height as the underarm F50;

Suppose 〇near J^high = IΧ/?) ^ y(FS0), Z(P:) = z(F50),/> e Ω^} =>Fsl =Min(Hdista/(Fs〇fPa)), Pa ^nettrMhSuppose 〇near J^high = IΧ/?) ^ y(FS0), Z(P:) = z(F50), /> e Ω^} => Fsl =Min(Hdista/(Fs〇fPa)) , Pa ^nettrMh

Suppose ^near rightthigh = {Pt I y(Pt) ^y(F5〇)y Z(J>) = z(F50),i> € Ω^} => FSR = Min(Hdista/ (FS0,Pb)), Pb e 〇.near rightth.gh (十三)Fpr (左、右)低膝寬(Low Knee Breadth):兩腿膝蓋部 位最下方之水平間距,即由胯下點F5〇沿左、右腿内侧找 尋1/8至3/8身高長度間且輪廓曲線開口分別朝+Y方向 (求得Fpl)、朝-Y方向(求得f9r)之最大BV值,分別 求其左、右膝水平寬距;Suppose ^near rightthigh = {Pt I y(Pt) ^y(F5〇)y Z(J>) = z(F50),i> € Ω^} => FSR = Min(Hdista/ (FS0,Pb) ), Pb e 〇.near rightth.gh (13) Fpr (left, right) Low Knee Breadth: The horizontal spacing at the bottom of the knees of the legs, that is, by the lower point F5 〇 along the left and right Find the maximum BV value of the inside of the leg between 1/8 and 3/8 height and the contour curve opening in the +Y direction (Fpl) and the Y-direction (f9r), and find the left and right knee levels respectively. Wide distance

Suppose Q,.BjWe Jeftlegline = {Pt | Pt s ^imide_legUne I , 1315042 (吾2腿(Ω/ )+! WW) < z(巧) < (昏 z眶(Ω, )+. ζ- (Ω,))}Suppose Q,.BjWe Jeftlegline = {Pt | Pt s ^imide_legUne I , 1315042 (My 2 legs (Ω/ )+! WW) < z(巧) < ( 眶z眶(Ω, )+. ζ- ( Ω,))}

Let k = 35^P^a inside _ WMegHne BP^BViP^BVi^) F9L = Hdista/ (Pa,Pb),Pb e Clβ where y(Pa) Φ y{Pb\ z(Pa) = z{Pb), Ptt,Pbe ΩβLet k = 35^P^a inside _ WMegHne BP^BViP^BVi^) F9L = Hdista/ (Pa, Pb), Pb e Clβ where y(Pa) Φ y{Pb\ z(Pa) = z{Pb) , Ptt, Pbe Ωβ

Suppose 〇·inside_n^i\le^me ~ {^i I e ^inside Jegline ^ » (^™χ(Ω^+^πώ(Ω/)<ζ(/>)<(|ζπ1ίχ(Ω/)+|ζπώ1(Ω/))} • Let ^ = 35 => VP, e Ω^β rightfe?/ftie 3 Pc a BV(PC) >BV(P{) F9R ^ Hdista^ Pd • ^here y(Pc) ^ y(Pd), z(Pc) = z(Pd), Pc9Pde 4 (十四)F10LF10R (左、右)中腿寬(Mid Thigh Breadth):胯下至(左、Suppose 〇·inside_n^i\le^me ~ {^i I e ^inside Jegline ^ » (^TMχ(Ω^+^πώ(Ω/)<ζ(/>)<(|ζπ1ίχ(Ω /)+|ζπώ1(Ω/))} • Let ^ = 35 => VP, e Ω^β rightfe?/ftie 3 Pc a BV(PC) >BV(P{) F9R ^ Hdista^ Pd • ^ Here y(Pc) ^ y(Pd), z(Pc) = z(Pd), Pc9Pde 4 (fourteen) F10LF10R (left and right) Mid Thigh Breadth: 胯 down to (left,

右)膝寬間中點的水平線距離’即胯下點f5.〇和低膝寬f15LRight) The horizontal line distance between the midpoints of the knee width is the lower point f5.〇 and the lower knee width f15L

Fim間高度中點的Z值分別取左、右大腿的水平寬距;The Z value of the midpoint of the height between the Fims is taken as the horizontal width of the left and right thighs, respectively;

Fl0L =Hdist(Pa,Pb) where y(Pa)^y(Pb), z(Pa) = z(Pb) = } Ρα,Ρ,〇^ φ F10, =Hdist(Pc,Pd) where y(Pc)^y(Pd), z(Pc) = z(Prf) = ^)^z(F^), Pc, (十五) Fii_〇l Fii.qr (左、右)腳跟點(Heel Point):在左、右小腿至 腳掌曲線,曲率最大之點,即從左、右半身最低點往上 約1/8身咼長度’在此範圍求取左、右腿内曲線Bv值最 大之處;Fl0L =Hdist(Pa,Pb) where y(Pa)^y(Pb), z(Pa) = z(Pb) = } Ρα,Ρ,〇^ φ F10, =Hdist(Pc,Pd) where y(Pc )^y(Pd), z(Pc) = z(Prf) = ^)^z(F^), Pc, (fifteen) Fii_〇l Fii.qr (left and right) heel point : In the left and right calf to sole curve, the point of maximum curvature, that is, about 1/8 body length from the lowest point of the left and right half of the body, in this range, the maximum Bv value in the left and right legs is obtained;

Suppose Q„earJeftheel = {/> Ii> eQinift/e_We,z(i>) <(^ηΒΧ(Ω/)+Ιζπ.η(Ω/))}Suppose Q„earJeftheel = {/>Ii>eQinift/e_We,z(i>)<(^ηΒΧ(Ω/)+Ιζπ.η(Ω/))}

Let k = 35 二外⑸⑽啡咖 3 FuQL=Max(Bvm 15 1315042Let k = 35 two outside (5) (10) brown coffee 3 FuQL = Max (Bvm 15 1315042

Suppose Clnear_Hghthed = {i> I /> e < (^ΙΜχ(Ω/)+|ζΠ]ίη(Ω/))}Suppose Clnear_Hghthed = {i> I /> e < (^ΙΜχ(Ω/)+|ζΠ]ίη(Ω/))}

Le“ = 35 3 510/i=Mu(5i^)) (十六)F11LF11R(左、右)小腿寬(CalfBreadth):小腿部位左右兩 邊的最大水平距離’即在左、右低膝寬F9L F9R到腳跟Fu见Le“ = 35 3 510/i=Mu(5i^)) (16) F11LF11R (left and right) CalfBreadth: The maximum horizontal distance between the left and right sides of the calf is 'left and right low knee width F9L F9R See you on the heel

Fii.or的Z值高度間,分別求取左、右小腿的最大水平寬 距;Fii.or's Z value height, respectively, the maximum horizontal width of the left and right calves;

SupposeΩ_ w = {(Pt I p{ € Ωα,ζ(^£) > z(^.) > z(Fn.0i))} Ful = Mox(Hdist(nnearJeftcaI/))SupposeΩ_ w = {(Pt I p{ € Ωα,ζ(^£) > z(^.) > z(Fn.0i))} Ful = Mox(Hdist(nnearJeftcaI/))

Suppose 〇.near rishtcalf = {(i> IP. e Ω^,ζ(^Λ) > > z(Fn 0Jt))}Suppose 〇.near rishtcalf = {(i> IP. e Ω^,ζ(^Λ) >> z(Fn 0Jt))}

Fnji =Max(Hdist(^nearrlghtca!f)) (十七)F12lF12R (左、右)最小腿寬(Min Calf Breadth):小腿部位 左右兩邊的最小水平距離,即在左、右低膝寬 腳跟?11.〇1^„.服的Z值高度間,分別求取左、右小腿的 最小水平距離;Fnji =Max(Hdist(^nearrlghtca!f)) (17) F12lF12R (left and right) Min Calf Breadth: The minimum horizontal distance between the left and right sides of the calf, that is, the left and right knee width? 11. 〇 1 ^ „. The Z value of the service, the minimum horizontal distance between the left and right calves;

Suppose ^near_1φηαηcalf = {(^/ I , ζ(Ρ9ί ) > z(/^·) > 〇i ))} FUL = Μίη(Η—(Ω_ 邮一lf))Suppose ^near_1φηαηcalf = {(^/ I , ζ(Ρ9ί ) > z(/^·) > 〇i ))} FUL = Μίη(Η—(Ω_邮一lf)

Suppose ClneBrrightltiacalf = {(/> I z{F9R) > z(^.) > z(F110/!))}Suppose ClneBrrightltiacalf = {(/> I z{F9R) > z(^.) > z(F110/!))}

FllR = Min(Hdist(Cl酣弟―!f)) (十八)?13.〇1^13皿(左、右)侧頸點(^〇1^0他):左、右頸部最 彎曲的一點,即在頸寬F2的高度至肩點F3.〇LF3.()R的高度 之間,分別尋找k=20、k=35、k=50的BV值最大的點, 取此三點的平均;FllR = Min(Hdist(Cl酣弟-!f)) (18)? 13. 〇1^13 dish (left, right) side neck point (^〇1^0 him): the most curved point of the left and right neck, that is, the height of the neck width F2 to the shoulder point F3.〇LF3. Between the heights of R, find the point where the BV value of k=20, k=35, and k=50 is the largest, and take the average of the three points;

Suppose QnearJ^,eck = lii I e < z(Pt) < (^ζηΒΧ(Ω/) + ^ζηιίη(Ω/))1 1315042Suppose QnearJ^,eck = lii I e < z(Pt) < (^ζηΒΧ(Ω/) + ^ζηιίη(Ω/))1 1315042

3^.0, U 象(万· U ' 3 Ω”—一十 |/^Ω_(〜Λ)<2β)<(^_(Ω/)+^2ηώι(Ω/))} =>Vi>eQ„eflrr;gAftierf Ξ PlX0R =幽㈣))丨U—+Ma(·))丨㈣ 3 (十九)Fu軀幹長(TnmkLength):從平均侧頸點高度到胯下點 之垂直高皮差,即左右侧頸SF13.〇lF13.〇r平均高度到胯下點p5() 之Z值差距;3^.0, U 象(万·U ' 3 Ω"—一十|/^Ω_(~Λ)<2β)<(^_(Ω/)+^2ηώι(Ω/))} =&gt ;Vi>eQ„eflrr;gAftierf Ξ PlX0R=幽(4)))丨U—+Ma(·))丨(4) 3 (19)Fu torso length (TnmkLength): from the average side neck height to the vertical point of the underarm High skin difference, that is, the Z value difference between the average height of the left and right side necks SF13.〇lF13.〇r to the underarm point p5();

Fi3 = z(pw^(f·)—明。)Fi3 = z(pw^(f·)—bright.)

(二十)臀高(Hip Height):從臀寬到腳跟之垂直高度差,即 臀寬FV水平尚度到腳跟點;Fu.olFh.or平均高度之z值差 距; & =沿W)+汾W) _峨) (二Ί一)1?151^1511(左、右)膝寬〇^1^丑比3(^11):在脛骨的高度, 左右腿兩側點的水平距離,即由胯下點F5_〇沿左、右腿 内側找尋1/8至3/8身高長度間且輪廓曲線開口分別朝 +Y方向(求得Ful)、朝-Y方向(求得F^r)之最大 BV值,分別求其左、右膝水平寬距;(20) Hip Height: The difference from the hip width to the vertical height of the heel, that is, the hip width FV level to the heel point; the mean value of the mean height of Fu.olFh.or; & = along W) +汾W) _峨) (2Ί1)1?151^1511 (left and right) knee width 〇^1^ ugly ratio 3(^11): at the height of the humerus, the horizontal distance between the left and right legs, That is, from the lower point F5_〇, find the length of 1/8 to 3/8 height along the inner side of the left and right legs, and the contour curve opening is respectively in the +Y direction (Ful), and in the -Y direction (F^r is obtained) The maximum BV value, respectively, the horizontal width of the left and right knees;

Suppose nillsideJeJUegline I e ^insideJegiine I β, (g Zmax (Ω/) + g ^min (Ω/) < ^(^) < (~ (Ω/) +1(Q^))Suppose nillsideJeJUegline I e ^insideJegiine I β, (g Zmax (Ω/) + g ^min (Ω/) < ^(^) < (~ (Ω/) +1(Q^))

Let k = 35 二 M e Ω㈣em咖 3 Pa 3 BV(Pa)k BV(P() ^isL ~ Hdist^ {Pa9Pb\Let k = 35 two M e Ω (four) em coffee 3 Pa 3 BV (Pa) k BV (P () ^isL ~ Hdist^ {Pa9Pb\

wherey{Pa)^y(Pb),z(Pa) = z(pb),Pa9Pi>eQ/LWherey{Pa)^y(Pb),z(Pa) = z(pb),Pa9Pi>eQ/L

Suppose 〇.inside_rigMegUne = Ρί \ Pi 爸 Qinside Jegline I Q β, (g Zmax (Ω/) + -^nrin (〇/) < ^i) < (~ ^max (Ω/) +1(Qr))Suppose 〇.inside_rigMegUne = Ρί \ Pi Dad Qinside Jegline I Q β, (g Zmax (Ω/) + -^nrin (〇/) < ^i) < (~ ^max (Ω/) +1(Qr))

Let Λ = 35 => V/> e Qinside_righllegline 3 Pc a BV{PC) > 5F(/>) 17 1315042 ^ΐ5Λ = Hdist^(Pc9Pd)9 Pd s where y(Pc) Φ y{Pd\z{Pc) = z{Pd\Pc9 Pd € (二十二)F16LF16R(左、右)膝高(KneeHeight):從膝寬到腳跟之 垂直高度差,即左、右膝寬F15LF15R水平高度到左、 右腳跟點Fii.olFii.or之Z值差距; ^ Ζ(^1Ι.〇ΐ)~Ζ(·^15ΐ)Let Λ = 35 =>V/> e Qinside_righllegline 3 Pc a BV{PC) >5F(/>) 17 1315042 ^ΐ5Λ = Hdist^(Pc9Pd)9 Pd s where y(Pc) Φ y{Pd \z{Pc) = z{Pd\Pc9 Pd € (22) F16LF16R (left and right) KneeHeight: The difference in height from the knee width to the heel, ie the left and right knee width F15LF15R level to The Z value difference between the left and right heel points Fii.olFii.or; ^ Ζ(^1Ι.〇ΐ)~Ζ(·^15ΐ)

Fl6R — z(Fuor)~~ z(F15r) (二十三)Fn Scye深(Scye Depth ):從侧頸點到腋下點之垂直高 ,度差,即左、右侧頸點FmFn.oR連線,左、右腋下 '點F2.0LF2.0R連線,取兩連線中點之z值差; F17 = Vdht{-nsif· ^ F^r , Ful + ^2-0Jt) (二十四)F1S大腿長(ThighLength):從胯下點到膝寬之垂直高 度差,即胯下點F5.〇到膝寬F15L F15R平均高之Z值差距; /γ8 = ζ(ρ5〇)_£(^)±<5μ) (二十五)F19胯高(内腿長)(CotchHeight):從胯下點到腳跟 點之垂直高度差,即胯下點F5.〇到左、右腳跟點fuolFl6R — z(Fuor)~~ z(F15r) (23) Fn Scye Depth: The vertical height from the side neck point to the underarm point, the difference between the left and right neck points FmFn.oR Connection, left and right armpits 'point F2.0LF2.0R connection, take the z value difference between the two points of the midpoint; F17 = Vdht{-nsif· ^ F^r , Ful + ^2-0Jt) (two 14) F1S thigh length (ThighLength): the vertical height difference from the kneeling point to the knee width, that is, the Z value difference between the kneeling point F5. 〇 to the knee width F15L F15R average height; /γ8 = ζ(ρ5〇)_ £(^)±<5μ) (25) F19胯High (inner leg length) (CotchHeight): The vertical height difference from the underarm point to the heel point, that is, the lower point F5. 〇 to the left and right heels Point fuol

Fii.or平均高度之Z值差距;The difference in the Z value of the average height of Fii.or;

Fl9 — l.ot 9 Fs〇 ) + Vdist{Fn〇R 9 Fso) (二十六)F2〇肩高(ShoulderHeight):從兩肩點到腳跟點之兩垂 直高度差的平均值,即兩肩點FmlF3.叹之平均高度到 兩腳跟Fu.olFii.or平均高度之Z值差距; ρ _^^ί(β[ΙΛ1ι,υ + ν(ϋ3ί(βηΛΛ,υ 20 2 (二十七)FZ1頸高(NeckHeight):從側頸點到腳跟點之垂直高 度差’即兩側頸點Fhol Fror之平均高度到兩腳跟 Fii.olFii.or平均高度之Z值差距; F2i _ 巧3.0!) + 版对 18 1315042 (二十八)F22胯腰距(BodyRise):從腰寬水平高度到胯下點之 垂直尚度差,即水平腰寬Fs水平高度到胯下點F5〇之 Z值差距; F22=z(F5)~z(F5〇) 二、侧面求取的投影量 (一)SL〇 頭頂點(side Head Point) 1.人體輪廓上,z值最大之點,若同Z值不只一點時,取所 有點之中間值為頭頂點; su〇 e Ω/} 5,0 = {/>(χ,ζ) I Vz, z =Fl9 — l.ot 9 Fs〇) + Vdist{Fn〇R 9 Fso) (26) F2 ShoulderHeight: The average of the two vertical height differences from the shoulder to the heel, ie the shoulders Point FmlF3. The average height of the sigh to the Z value of the average height of the two heels Fu.olFii.or; ρ _^^ί(β[ΙΛ1ι,υ + ν(ϋ3ί(βηΛΛ,υ 20 2 (27) FZ1 neck NeckHeight: The difference in vertical height from the side neck to the heel point', ie the average height of the Fol Fror on both sides to the Z value of the average height of the two heels Fii.olFii.or; F2i _ Qiao 3.0!) + version Pair 18 1315042 (28) F22 B 距 (BodyRise): from the waist width level to the underside point of the vertical difference, that is, the horizontal waist width Fs level height to the subordinate point F5 〇 Z value gap; F22 =z(F5)~z(F5〇) Second, the amount of projection on the side (1) SL head vertex (side Head Point) 1. The contour of the human body, the maximum value of z, if the same Z value is not only a little , taking the middle of all points as the head vertex; su〇e Ω/} 5,0 = {/>(χ,ζ) I Vz, z =

(二)31側面腰寬职(16\¥&1313比&她):介於腋下點和胯下點高 度中間’侧面軀幹前後身之最短水平間距,即介於腋下點 Fzol Fzor平均南度和跨下點F^o尚度間,取後身輪廓曲線 z值’丨於1/2至3/4之間的點群’若face right()則,取最小 X值之座標點’若非face right(),則取最大X值之座標點, 與前身曲線的水平間距;(2) 31 side waist wide position (16\¥ & 1313 than & her): between the lower point of the armpit and the height of the underarm height, the shortest horizontal spacing between the front and back of the side trunk, that is, the lower point Fzol Fzor Between the average south degree and the lower point F^o, the z-value of the posterior body contour curve '丨 丨 between 1/2 and 3/4', if face right(), take the coordinate of the minimum X value Point 'if not face right(), take the coordinate point of the maximum X value, and the horizontal distance from the curve of the precursor;

if face_right〇, x(Pa) = Μαχ(^.)), Pt 6 Ω„ββΓ if not face_right〇, x(Pa) = Mn(^.)), P-, € ^ 5, = Hdist^ (pa, ), where z(Pb) = z(Pe), Pb e Ω5/ (三)S2.〇腳根點(Side Heel Point) ··在小腿至腳掌曲線,曲率最 大之點,即取輪廓最小Z值到輪廓最大Z值間距的最底下 1/8範圍,求後身曲線BV值最大之處; 19 1315042 %?pose Ω嫌 if_ =仍|6 ,ζ— (Ω,)<z⑹<(吾2贿(ω^) + 吾Ζπώι(Ω:))}If face_right〇, x(Pa) = Μαχ(^.)), Pt 6 Ω„ββΓ if not face_right〇, x(Pa) = Mn(^.)), P-, € ^ 5, = Hdist^ (pa , ), where z(Pb) = z(Pe), Pb e Ω5/ (3) S2. Side Heel Point · · In the calf to sole curve, the point of maximum curvature, that is, the minimum Z value of the contour To the bottom 1/8 range of the maximum Z-value of the contour, find the maximum BV value of the back-body curve; 19 1315042 %?pose Ω ifif_=still|6,ζ—(Ω,)<z(6)<(我2 Bribe (ω^) + ΖπΖι(Ω:))}

Let k = 35 => M e Qnear_sldeheei 3 S2_0 = (四) S2身高(HumanHeight):腳跟點到頭頂點的高度差,即從 腳跟S2.0到頭頂Si.o在Z值間距; S2 = ζ{^ιΛ) — ζ(β2Λ) (五) S3腰高(Waist Height):從侧面腰寬到腳跟之垂直高度 差,即水平腰寬S!高度到腳跟點S2.〇之Z值差距; =z(5,)-z(5i0) (六) S4侧面臀寬(Side Hip Breadth ):介於水平腰寬以下,脖 下點以上,前半身曲線和後半身曲線之間最長的水平直線 距離’即在侧面腰寬S!到胯下點F5.0的Z值高度間的點 群’若face right()則,取最大X值之座標點,若非face rightO ’則取最小X值之座標點’與前身曲線的水平間距;Let k = 35 => M e Qnear_sldeheei 3 S2_0 = (4) S2 height (HumanHeight): the height difference between the heel point and the head apex, ie the distance from the heel S2.0 to the top of the head Si.o at the Z value; S2 = ζ {^ιΛ) — ζ(β2Λ) (5) S3 Waist Height: The difference from the lateral waist width to the vertical height of the heel, that is, the horizontal waist width S! height to the heel point S2. 〇 Z value gap; = z (5,)-z(5i0) (6) S4 Side Hip Breadth: Below the horizontal waist width, above the neck, the longest horizontal straight line distance between the curve of the front body and the curve of the back body' At the side waist width S! to the point group of the Z value of the lower point F5.0, if face right (), take the coordinate point of the maximum X value, if not face rightO 'take the coordinate point of the smallest X value' The horizontal distance from the curve of the precursor;

Qnear_sutehip = I ^ « Ωι4, ζ(5,) > ζ(/>) > Z(F5〇)} if face_right〇, x(Pa) ^Max(x(I>)), P( if not face_right〇, x(Pa) = Μΐη(χ〇>)), /> ^near_sidehip S^Hdista {Pa,Pb), where z(PA) = z(PJ, Pb^Qsf (七) 85腿寬(3丨(16 11%11丑比&(1&):在胯下點高度,大腿兩侧的 水平寬距,即相對於正面胯下點Fa同Z值高度的兩輪廊 點,計算其水平寬距;Qnear_sutehip = I ^ « Ωι4, ζ(5,) >ζ(/>)> Z(F5〇)} if face_right〇, x(Pa) ^Max(x(I>)), P( if not Face_right〇, x(Pa) = Μΐη(χ〇>)), /> ^near_sidehip S^Hdista {Pa,Pb), where z(PA) = z(PJ, Pb^Qsf (seven) 85 leg width (3 丨 (16 11% 11 ugly ratio & (1 &): at the height of the squat point, the horizontal width of the thighs, that is, the two rounds of the height of the Fa with the Z value relative to the front squat point, calculate Its horizontal width;

Suppose {P^lxiPJ^x^ z(Pa) = z(Pb) = z(F5M),Pa^Qsf,Pbensb} ^S5=HdiStns(Pa,Pb) (八) Se膝寬(Side Knee Breadth ):膝蓋部位最突出點之側面水 平寬距,即相對於正面膝寬Ful'Fur平均高度的同z值 20 1315042 高度的兩輪廓點,計算其水平寬距;Suppose {P^lxiPJ^x^ z(Pa) = z(Pb) = z(F5M), Pa^Qsf, Pbensb} ^S5=HdiStns(Pa,Pb) (8) Se Knee Breadth: The horizontal width of the side of the most prominent point of the knee, that is, the two contour points of the same z value of 20 1315042 with respect to the average height of the front knee width Ful'Fur, and the horizontal width is calculated;

Suppose {^,/»1^)^^), z(Pa) = z(Pb)=z{F^)+2Z{FiSX\pa eQsf,Pb eΩϊ6| ^S^Hdistas(Pa,Pb) (九)S7中腿寬(SideMidThighBreadth):胯下點至侧面膝寬間高 度中點的水平寬距,即相對於正面中腿寬Fl〇1同Z值高度 的兩輪廓點,計算其水平寬距; S7=Hdista(Pa,Pi)) where ^Pa) ^ x(Pb), z(Pa) = z(Pb) = z(Fl0L), Pa ^Cisf,Pb eQJft (十)S8最小腿寬(SideMinCalfBreadth):膝寬到輪廓最低點間 的最小水平寬距,即在腿寬心到腳跟S2Q的z值高度間,求 輪廓最小水平距離;Suppose {^,/»1^)^^), z(Pa) = z(Pb)=z{F^)+2Z{FiSX\pa eQsf,Pb eΩϊ6| ^S^Hdistas(Pa,Pb) (nine S7 Middle Wide (SideMidThighBreadth): the horizontal width of the midpoint of the height between the lower jaw and the lateral knee width, that is, the two contour points with the height of the leg width Fl〇1 and the Z value in the front face, and the horizontal width is calculated; S7=Hdista(Pa,Pi)) where ^Pa) ^ x(Pb), z(Pa) = z(Pb) = z(Fl0L), Pa ^Cisf, Pb eQJft (ten) S8 minimum leg width (SideMinCalfBreadth) : the minimum horizontal width between the knee width and the lowest point of the contour, that is, the minimum horizontal distance between the width of the leg and the z value of the heel S2Q;

Suppose Ω£ο// = {P. I p. e Qsf,z(S20) < z(^) < z(55)} 58 =Mn(脑,(Ωω//)) (H^一)心小腿寬(Side Calf Breadth):介於膝寬與最小腿寬間輪 廓的最大水平距離,即在膝寬S6到腳跟S8的Z值高度間 輪廓的最大水平寬距;Suppose Ω£ο// = {P. I p. e Qsf,z(S20) < z(^) < z(55)} 58 =Mn(brain, (Ωω//)) (H^一) Side Calf Breadth: The maximum horizontal distance between the knee width and the minimum leg width, ie the maximum horizontal width of the contour between the knee width S6 and the Z value of the heel S8;

Suppose ncalf = {i^. j P. e Qsf,z(Ss) < z(^) < z(S6)} 59 = MaxiHdistiQ^)) (十二)s io臀高(Side Hip Height):從側面水平臀寬位置到腳跟之 垂直高度差,即計算臀寬S4高度到腳跟點Sm之Z值差 距; 510 =z(54)-z(520) (十三)Sn大腿長(Side Thigh Length):從跨下點到膝寬之垂直高 度差,即胯下點F5.〇到膝寬S62Z值差距; 511 ~ ^(-^5.0 ) ~ ^(^6 ) 21Suppose ncalf = {i^. j P. e Qsf,z(Ss) < z(^) < z(S6)} 59 = MaxiHdistiQ^)) (12) s io hip height (Side Hip Height): From the lateral horizontal hip width position to the vertical height difference of the heel, that is, calculate the Z value difference from the hip width S4 height to the heel point Sm; 510 = z (54) - z (520) (13) Sn thigh length (Side Thigh Length ): From the point of crossing to the vertical height difference of the knee width, that is, the difference between the kneeling point F5. 〇 and the knee width S62Z value; 511 ~ ^(-^5.0 ) ~ ^(^6 ) 21

where Pa&Qsf ,z(P ) = ^l〇iJ + z(^ ° 2 1315042 (十四)S12胯腰距(Side Body Rise ):由側面腰寬高度到胯下點之 垂直高度差,即水平腰寬S!高度到胯下點F5.〇之Z值間 距; *^12 = ~ ^(-^5.0 ) (十五)S〗3足長(FootLength):最大腳掌長,即在最小腿寬s8高 度以下,求和腳跟點S2.g的最大水平寬距;Where Pa&Qsf ,z(P ) = ^l〇iJ + z(^ ° 2 1315042 (fourteen) S12 Body 距 (Side Body Rise): the vertical height difference from the side waist height to the underarm point, ie Horizontal waist width S! Height to the subordinate point F5. Z Z value spacing; *^12 = ~ ^(-^5.0) (15) S〗 3 foot length (FootLength): maximum foot length, that is, in the smallest leg Below the width of s8, sum the maximum horizontal width of the heel point S2.g;

Suppose Ω/οο< ={i^. |/>. €Ωί,ζπώι(Ω,)<ζ(?/)<2(58)} S9=Max(Hdist(Qf〇〇t)) (十六)S14側面胸^XChestDepth):腹下點高度處之侧面胸 即在左右腋下點F2.0L、F2.0R的平均高度處細 廓前後半身曲線間的水平距離; 又处謂面輪 S14=Hdist(Pa,Pb) ,Pi>Q^Sb ^(Pb) = z(Pb) 在上絲财,計算變形量係採 =在變形區域中的任意點,與已知點。:^^程式二 又到各個一影響力與5形成某個特=離為p抑,^點 化量v,_乘上p,做為受影響在=係^(卩)’則將各點變 到ρ點的變化量 、Ρ影響力中所佔的比例,得Suppose Ω/οο< ={i^. |/>. €Ωί,ζπώι(Ω,)<ζ(?/)<2(58)} S9=Max(Hdist(Qf〇〇t)) ( 16) S14 side chest ^XChestDepth): The lateral chest at the height of the lower abdomen is the horizontal distance between the upper and lower body curves of the F2.0L and F2.0R at the average height of the left and right lower points. S14=Hdist(Pa,Pb) ,Pi>Q^Sb ^(Pb) = z(Pb) In the calculation of the amount of deformation, the arbitrary amount in the deformation region, and the known point. :^^ Program 2 and each of the influences and 5 form a certain special = away from p, ^ point amount v, _ multiply p, as affected in = system ^ (卩)' will be points Change to the amount of change in ρ point, the proportion of the influence of Ρ,

其中 7 Ν(η)· 因此任意點Ρ 可以經由一個轉換函式 /(〜令 22 1315042 得到對應後的點’其中次方值k在人體的不同部位有不同的設定。Where 7 Ν(η)· thus any point Ρ can be obtained via a conversion function /(~令 22 1315042 corresponding point] where the power value k has different settings in different parts of the human body.

在上述發明中’在腋下圍到臀圍區域内,由於相機以透視投 影取像’加上影像處理產生輪廓過程的誤差,使得搜尋的輪廓影 像在腋下點位置偏低’解決方法係設腋下點的手臂截面長度L與臂 根圍在YZ平面投影長度L’維持一特定比例r ·· 1,接著沿腋下^在 輪廓像素的手臂内侧取^1/11身高像素量,每一像素與腋下點所構成 的多筆向篁取平均付vam,再從肩點開始沿手臂外侧的每一點與 腋下點形成的向量與iu作内積運算,取内積為〇的點下點^ 線即可得騎醜下齡置是在肩點與馳下_魏上下與^ 肩點(l+r)L處;其中’該Γ:1以採黃金比例〇618: i為佳。 在上述發明中,在臀圍到腹下圍區域内,由於每個人臀形幾 何形狀不見得相同,所以相片輪廓曲線與樣板模型在臀圍到胯下 圍間大腿根部的長度不_定會相等,如果直接令樣板模型上的χ 廓曲線相對的位置’則即使3D侧視圖的輪廓曲線 抑姉,媽配合較長社酿部造成三_訊扭曲, 寻下腹部發生不合理變職果’解決方法係鍵立側面腹部 2Ϊ下的延伸曲線以及大腿根部朝上的延伸曲線,兩段延伸^ 線分別擬合出兩條二次曲線做為腿根部與 .的I伸線,其中,下腹部的延伸線為自腰圍與 =半身曲線上最大f曲值的點^向下延伸到侧面胯下點:而 ϊΐ總長度為點p到在前半身曲線^脖下 廓曲線的1部;,極ίΓί?延伸線可將其視為輪 位置而得到』;‘if;型亡;,點分別移動到與之相對的 驗夕種不同長度所取得一個觀視上較佳的結果。 忒 α祕在上述發明中’在肩端圍到腋下圍區域内,芒盘k立 後32臂量必須包含前後中心線的移動量:= 口此問題在於如何從侧面輪廊影像上取得臂根圍 23 1315042 要ίϊ係利用前述過程中完成腋下圍到脖下圍區域的 it 形前與變形後的前後腋下點的移動量作為已知點 ,面輪_的資訊可得到變形後的肩點的位置, 故叹疋為已知點’因此樣板模型臂根圍上的任-非已知 點的移動量可藉由這三點來求得。 麻县在中’在頸圍到肩端圍區域内,因為無法從正面與 由部份:頸圍、肩線與部份肩端圍形成的三角 ϋ搜尋適二Ρ 4’因此若要計算該區域内部的變形,解決方法 點。故而在側面輪廓上,可以最大料值方 上的區域找到下前頸點與上前頸點的位置,下 後尋耻計算下_關讀· 6與下前頸點形成的平均向量, 母點 ^pper^front neck^po'mt [·_,一乃气 一-—*In the above invention, 'in the crotch around the hip area, because the camera takes the image by perspective projection' and the image processing produces an error in the contour process, so that the searched contour image is at a low position at the underarm point. The arm length L of the armpit point and the arm root circumference are maintained at a specific ratio r ··1 in the YZ plane projection length L′. Then, along the armpit ^, the inside of the arm of the contour pixel is taken as ^1/11 height pixel amount, each The multi-strokes formed by the pixels and the under-the-spot point are averaged by vam, and then the vector formed by each point along the outer side of the arm and the underarm point from the shoulder point is interpolated with iu, and the inner product is the point of the 〇. The line can get the ugly under the age of the shoulder and the galloping _ Wei up and down and ^ shoulder point (l + r) L; where 'the Γ: 1 to take the golden ratio 〇 618: i is better. In the above invention, in the hip-to-abdominal region, since the hip-shaped geometry of each person is not necessarily the same, the length of the photo contour curve and the model model at the thigh root between the hip circumference and the underarm circumference is not equal. If the relative position of the profile curve on the model model is directly made, then even if the contour curve of the 3D side view is suppressed, the mother will cooperate with the longer brewing department to cause three _ distortions, and find the unreasonable change in the abdomen. The method is an extension curve of the lower abdomen of the key side and an extension curve of the root of the thigh upward, and the two extension lines respectively fit the two quadratic curves as the I-line of the leg root and the lower abdomen. The extension line extends from the waist circumference and the point of the maximum f-curve value on the half-length curve to the side-down point: the total length of the ϊΐ is the point p to the lower part of the curved curve of the front half of the neck; The extension line can be regarded as the position of the wheel to obtain the "; if; type death;, the point is moved to the opposite length of the test, to obtain a better view.忒α秘 In the above invention, 'in the shoulder circumference to the underarm circumference area, the 32-arm amount of the awning plate must include the amount of movement of the front and rear centerlines: = The problem is how to obtain the arm from the side porch image Root circumference 23 1315042 To use the above process to complete the amount of movement of the front and the back of the neck before and after the deformation of the underarm and the lower part of the neck as the known point, the information of the face wheel _ can be deformed The position of the shoulder point, so the sigh is a known point' so the amount of movement of any-unknown point on the arm root of the model model can be obtained by these three points. Maxian is in the middle of the neck circumference to the shoulder circumference area, because it is impossible to search for the triangle from the front and the part: the neck circumference, the shoulder line and the partial shoulder circumference. Therefore, to calculate Deformation inside the area, solution point. Therefore, on the side profile, the position of the lower front neck point and the upper front neck point can be found in the area on the maximum value side, and the average vector formed by the lower back neck point is calculated under the shame calculation. ^pper^front neck^po'mt [·_,一乃气一--*

Num(Pi') 則下後頸點與下前頸,點形,向量紐滿足條件Num(Pi') is the lower back neck and the lower front neck, and the point shape and vector are satisfied.

Vflfeck ' ^LowerNeck ~ 〇 3上上前頸點平行W—與後半彻曲線相交尋 付,正面輪_ 的轴__範 毅述的定義求得,至於上右綱 如此便了求传該£域内任一點的移動量。 人辦估變形後的三維數位人體的結果與原始 人體的差異量4縣砂_咖(__mean_squarc>it二 24 A3l5〇42 變形谈的點群.也有%個點,則可寫成 ^ A,= {k}f〇ri = \,2,^Na 又義兩對應點一)與一(以心之間的距離為Vflfeck ' ^LowerNeck ~ 〇3 upper and lower neck points parallel W - intersect with the second half of the curve to find, the front wheel _ axis __ Fan Yishu definition of the definition, as for the right right class so it is possible to pass the field The amount of movement at any point. The person can estimate the difference between the result of the three-dimensional digital body after deformation and the original human body. 4 county sand _ coffee (__mean_squarc>it two 24 A3l5〇42 deformation point group. There are also % points, you can write ^ A, = { k}f〇ri = \,2,^Na and the two corresponding points one) and one (the distance between the hearts is

‘ α,-)=*α;' ^=+(z; - ZJ 下兩點柳RMS值、平·、最大值與最小值依序分別定義如 RMS 值: b(K Ta;y J{K k) Νλ «;) 平均值: 最大值: 最小值: 之方法行三維人體計測 特徵長,展狀三維人·小外包 ^ l.pft+1y 于該特徵長之計測結果, 25 1315042 最小外包二維特徵長 1=0 ε係特徵圍上各小區段的裕度,《.+1表特徵圍上各小區段 上的點。 【實施方式】 為詳 =削本㈣之方法及可達致之絲及功效,兹舉以下 較佳,實施娜合_詳述制如下,俾·便深入瞭解。 魅丨ifrff例的總流程如第,魏從相機取得正面 影像處體=點投影亦可,經過-系列的 ΐίί景—值尋邊,可得到寬度只有一個像素 用為了建立合理的三維人體模型,本實施例使 产,並參老服i制ΐί體制象輪廊的特徵點、特徵高度及特徵寬 ϊ,了十個特徵點、九個特徵高度、十三個特徵寬 合^義了兩個特徵點、五個特徵高度、九個特徵寬度, ίΐΐΐΓί述’域再以三維'變频術(3Dm()rPhing),參考 方法i解目⑽位^!拥人雜幹樣板建立三維觀變形的數學 的ί維兒生出與相片中人體身材近似 ★,ί 進—步建立三維人體特徵長之計測公 I太音^二、从體制絲,而得結構化人體制。以下兹針 ^本實施例所進行的步驟中所採用到的方法與技術進行詳細說 一、影像前處理: 邊界與侧面相片’經過影像處理制影像的 ί的技術上有灰階影像的驗1聰k、dosing method (猶件參考絲24)、c 26 1315042' α,-)=*α;' ^=+(z; - ZJ The two RMS values, flat ·, maximum and minimum values are defined as RMS values: b(K Ta;y J{K k) Νλ «;) Average value: Maximum value: Minimum value: The method is three-dimensional human body measurement feature length, exhibition shape three-dimensional human small outsourcing ^ l.pft+1y The measurement result of the characteristic length, 25 1315042 Minimum outsourcing two Dimensional feature length 1 = 0 ε is the margin of each small segment around the feature, ". +1 table features the points on each small segment. [Embodiment] For the detailed method of cutting the book (4) and the wire and effect of the wire, the following is preferred. The implementation of Nahe _ detailed system is as follows, and then we will understand it in depth. The general flow of the charm ifrff example is as follows, Wei obtains the front image from the camera, and the point projection is also possible. After the series of ΐίί-value finding, the width can be only one pixel in order to establish a reasonable three-dimensional human body model. In this embodiment, the feature points, feature heights and feature widths of the production system and the old-fashioned system are as follows: ten feature points, nine feature heights, and thirteen features are broadly defined. Feature points, five feature heights, nine feature widths, ΐΐΐΓ ΐΐΐΓ ' 'domain and then three-dimensional 'frequency conversion (3Dm () rPhing), reference method i solution (10) bit ^! People's dry and dry template to establish three-dimensional deformation of mathematics The 维 儿 生 生 生 生 生 生 生 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片 相片The following is a detailed description of the methods and techniques used in the steps performed in this embodiment. Image pre-processing: Boundary and side photos 'The image of the image processed by the image processing has a grayscale image. Cong k, dosing method (Just reference wire 24), c 26 1315042

獻6) ’到彩色影像的k.mean、JS 儘管這些方法都能夠很清楚的分辨出 才件1文獻) 陰影以及周遭影像的複雜背景下,自=邊界’但疋要在具有 ^ ^ ^自動辨識哪部分輪廓是屬於人 在 象二值化去除雜.點(如第四圖所示),步驟四 • 如第= 斤?)。雖然以上實施例是使用比 複雜的昔导田ί’不過由於疋以手動處理,所以即使是較為 ^雜的抒雷同的步驟也能鱗到清楚的人體邊界的輪 ^二、邊界搜尋與排序: ,,數位相片經過影像去除背景、二值化、尋邊處理 ί去像素寬度的輪聽像,令該像素為卜非為輪廓 找二U進灯f曲值方法時’為達到快速的在輪靡影像上 • ί播ΐϊϊί點以及往後第k個點’需要將輪靡像素點依相鄰 ^ 1係排序,以下說明本步驟過程採_人相鄰(8_麵她心 隹序法,其相關流程如第六圖所示。數位影像的基本單位為像 、在影像上依照從上到下,由左到右的順序搜尋,搜尋到為^ 的像素停止,記為排序前先說明一些規定,首先定義變數 fection用來記錄目前像素搜尋的方向,並預設dkecti〇n初始值 為3 ’還^變數C_ectNumber,用來記錄像素排序後的編號。 將目則檢查的像素編號存到ConnectNumber,以逆時針的順 序檢查周圍八個相鄰的像素,directi〇n的值更新為第一個搜尋到 像素為1的方向編號,依照該方向進入到下一個像素,並將 27 1315042 前像素,絲―為奇數,則為 (―)除以8取餘心再以逆時針m 到下-個像素,絲1 _編號,前進 c。一_er為2,並:像素,對應到的 —ber為!,則排序完成== 方法完成輪廓像素點的排和 S複^的步驟以此 三、彎曲值方法: 來決定人趙:r二: =段 大則代表該點的彎曲點值’向量和越 口二、的位置即可能為特徵點’由於該方法的邏輯運算 ,、而!過四次減法、兩次加法及一次判斷式比較,在程式的 計算曲線曲率的方法簡單許多。以下鑛曲值方 ㈣件是一群依相鄰關係做好排序的輪廓像素,請配合參 閱,七圖所不,假設其中某像素點的座標位置 ,由續 排序後的第k點心構成的向量為 ,、 pfi*k = [Xfd (ι)^Υβ (/')) 由6與其前第k點^構成的向量為6) 'K.mean, JS to color image Although these methods can clearly distinguish the only piece of literature 1) Shadow and the complex background of surrounding images, from the = boundary 'but but have ^ ^ ^ automatically Identify which part of the contour belongs to the person in the binarization to remove the miscellaneous points (as shown in the fourth figure), step four • such as the first = kg?). Although the above embodiment is more complicated than the use of the old field, but because of the manual processing, even the more complicated steps can scale to the clear boundary of the human body, boundary search and sorting: ,, the digital photo is removed from the image by the image, binarized, and edge-finished. ί Go to the pixel-wide round of the auditory image, so that the pixel is not the contour to find the second U into the light f-curve method.靡 靡 靡 ί ί ί 以及 以及 以及 以及 以及 以及 以及 以及 以及 ί ί ί ί ί ί ί ί ί ί The related process is shown in the sixth figure. The basic unit of the digital image is the image, the image is searched from top to bottom, from left to right, and the pixel that is searched for ^ stops, which is described as some before sorting. It is stipulated that the variable infection is first used to record the direction of the current pixel search, and the initial value of dkecti〇n is preset to 3 'also ^variable C_ectNumber, which is used to record the number after pixel sorting. Save the pixel number of the check to ConnectNumber , Checking the surrounding eight adjacent pixels in a counterclockwise order, the value of directi〇n is updated to the first direction number in which the pixel is searched for 1, according to the direction to enter the next pixel, and 27 1315042 front pixel, silk ― is an odd number, then (―) divided by 8 to take the rest of the heart and then counterclockwise m to the next pixel, silk 1 _ number, advance c. One _er is 2, and: pixel, corresponding to - ber is !, then the sorting is completed == The method completes the step of the contour pixel point and the step of S complex ^. The third method of bending value: to determine the person Zhao: r two: = the large segment represents the bending point value of the point 'vector sum The position of the transgression may be the feature point 'because of the logical operation of the method, and! After four subtractions, two additions, and one judgment comparison, the method of calculating the curvature of the curve in the program is much simpler. The value side (four) piece is a group of contour pixels sorted according to the adjacent relationship. Please refer to the seven figures. Suppose the coordinate position of a certain pixel point, the vector formed by the contiguous kth snack, pfi *k = [Xfd (ι)^Υβ (/')) by 6 and its former k ^ Is configured vector

PlPi-k =(^w(0»^rf(l)) 其中 28 1315042PlPi-k =(^w(0»^rf(l)) where 28 1315042

Xfd(f) = Xi+k -、 ^fd (0 ~ y^k - yi ^bd (0 ^ Xi-k " XiXfd(f) = Xi+k -, ^fd (0 ~ y^k - yi ^bd (0 ^ Xi-k " Xi

Yb<s (0=*^/-a - Vi 則 (0+zw (0^/, (0+¾ (0) 令 尤HaW+lWI,rH心W+rwW| 則定義e點的變曲值為 BV(P) = xa^{Xc,Yc) (1) k值的決定影響該點的彎曲值的結果,因此k值的選擇在不 同區段會有不同的設定,經驗值顯示通常特徵比較不明顯處選擇 給定較小的k值,反之則使用較大的k值。Yb<s (0=*^/-a - Vi (0+zw (0^/, (0+3⁄4 (0) makes HaW+lWI, rH heart W+rwW| then defines the variation of e point For BV(P) = xa^{Xc,Yc) (1) The decision of k value affects the result of the bending value of the point, so the choice of k value will have different settings in different sections, and the empirical value shows the comparison of common features. It is not obvious that a smaller k value is given, and a larger k value is used instead.

四、變形方法: 本發明採用的變形方法是Shepard在1996年提出的三維模 型的變形技術(見附件參考文獻9),該方法假設變形的目標士 數個已知點,未知點的移動量則分別依據與全部已知點的距離遠 近來當作變化參數,用以決定該未知點的移動量,惟本發明係^ 推導方便求it}變形量的數學方程式,使運算處理速 ^ ?第广圖所示,假設矩形為原始形狀,梯形ί、目 认狀。ti表不在目標形狀上已知的點,Gi表示原始形狀上與t 29 1315042 相對應的點,則向量“_。·表示已知點的 請參y九圖所示,在區域中的任意點向。 距離為^=冗。假設p點受到各個〇,的景;$’ 已知點〇ί之間的 數關係iv⑹,則將各點變化量'乘上^乂5形成某個特定函 影響力中所佔的比例,得到夕點的變化‘、’、又。,影響在所有對p Σ^·) (2) /»1 其中 ri U) 因此任意點;7,可以經由一個轉換函式 m=p+±dt 後⑶中次紐在人體的不同部位 廓,其對士 在=知”正面與側面的輪 it ί 4 Ρ2'Ρ5 9 ? Τ 示’假設二上:圍=’,第十一圖所 公式⑷㈣已知點= 壬為2,、以p介於巧料之間為例, 式展開如下。 '1 6 A、P«6、A、A ’則其計算 其t f(*P + di+d6+dui+du6« (5) 30 1315042 丨』,ΟΣ>(0 Σ^·> dn^N^!>w d.. d„ m Σ^·> i HUf νΐΓ^κ) Σ^·) 在上式中 ^Nir,) =N(r,) + N(r6) + N(rul) + ΛΓ(γβ6) + N{rn) + N(rl6) 五、變形評估: 本發明實施例在評估變形後的三維數位人體的結果與原始 異量’除了計算特定數個特徵圍的截面積與測地量長度 ΪίίίΧ卜,也參考1CP(interaetiVedQ—X 見附· 計算兩點群相對應關的距離,並分別取掃描 =RMS (r〇〇t-mean_Square)值、平均 評估的標準,計算方法說明如下。 取穴伹/、敢〗值作為 成令變形前的三維數位人_點群為踐料個點,則可以寫 則可寫成 變形後的點群為τ也有%個點, N, 定義兩對應與〜Μ)之間的距離為 31 1315042 d(s,^)=1¾ ^-1=>iw-^)2+u-^)2+(z;-z.)2 ⑹ 下 則兩點群間腹8值、平触、最大健最小錄序分別定義如 (7)4. Deformation method: The deformation method adopted by the present invention is a deformation technique of a three-dimensional model proposed by Shepard in 1996 (see Attachment Reference 9), which assumes that the target of the deformation has a number of known points, and the movement of the unknown point is According to the distance from all known points, it is used as a variation parameter to determine the amount of movement of the unknown point. However, the present invention deduces a mathematical equation that facilitates the calculation of the amount of deformation, so that the operation processing speed is wide. As shown in the figure, it is assumed that the rectangle is the original shape, trapezoidal, and visible. The ti table is not at a point known on the target shape, Gi represents the point on the original shape corresponding to t 29 1315042, then the vector "_.· indicates the known point, as shown in the figure y, at any point in the area. The distance is ^=redundant. Suppose p point is affected by each 〇, and $' is known as the number relationship iv(6) between points ,, then multiply each point change by '乂5 to form a specific function influence. The proportion of the force, the change of the eve point ', ', and again, affects all pairs of p Σ ^ ·) (2) /»1 where ri U) therefore any point; 7, can be via a conversion function After m=p+±dt (3) in the different parts of the human body in the different parts of the human body, the pair is in the sense of the front and the side of the wheel it ί 4 Ρ 2' Ρ 5 9 ? ' 'hypothesis two: circumference = ', tenth In the figure, the formula (4) (4) is known as the point = 壬 is 2, and the example of p is between the materials, and the formula is as follows. '1 6 A, P«6, A, A ' then calculate its tf(*P + di+d6+dui+du6« (5) 30 1315042 丨』,ΟΣ>(0 Σ^·> dn^N ^!>w d.. d„ m Σ^·> i HUf νΐΓ^κ) Σ^·) In the above formula ^Nir,) =N(r,) + N(r6) + N(rul) + ΛΓ(γβ6) + N{rn) + N(rl6) V. Deformation evaluation: The embodiment of the present invention evaluates the results of the three-dimensional digital human body after deformation and the original dissimilarity 'in addition to calculating the cross-sectional area of a certain number of characteristic enclosures The length of geodetic measurement ΪίίίΧ, also refer to 1CP (interaetiVedQ-X see attached · Calculate the distance corresponding to the two points group, and take the scan = RMS (r〇〇t-mean_Square) value, the average evaluation criteria, the calculation method is as follows Take the hole 伹 /, dare value as the three-dimensional number of people before the deformation of the _ point group for the practice of a point, you can write can be written as a deformed point group τ also has a number of points, N, define two corresponding The distance from ~Μ) is 31 1315042 d(s,^)=13⁄4 ^-1=>iw-^)2+u-^)2+(z;-z.)2 (6) The 8 values of the abdomen, the flat touch, and the maximum health minimum order are defined as (7).

RMS 值:D 平均值: b(c -I) (8) (9) 最大值: (10) 最小值: 在傳ίί用例進行人體計測的過程。 長度與:度'包含f長亦可相片自動擷取人體二維特徵 些已知的二輸膝高等確實數據,根據這 而為得到人體錢量建出近似賴特兒細的模型。 獲得相對應的輪縮須先針對人體二維計測項目 考文獻30)的定義並無訂(見附件參 ir^xfr,: 為基礎,建4學:意義,再利用幾何的定義 型,並且進—妓‘维二===== 32 1315042 維人體特徵周長之計測結果。以下先就個體二維計測項目依序說 明’各特徵如第十二圖所示的人體正面輪廓特徵尺寸 1 三圖所,人體侧面輪_徵尺寸舰。 现及第十 .接著’先予說明點集合的定義以及圖像座標表示法。RMS value: D Average value: b(c -I) (8) (9) Maximum value: (10) Minimum value: The process of human measurement using the ίί use case. The length and degree: including f length can also automatically capture the human body's two-dimensional features. Some known two knee-high high data, according to which to build a model similar to Wright. Obtaining the corresponding shrinkage must first be defined for the definition of the human body two-dimensional measurement project document 30) (see attachment ir^xfr,: based on, build 4: meaning, reuse geometry definition, and —妓' dimension 2===== 32 1315042 Dimensional measurement results of human body features. The following is an explanation of the individual two-dimensional measurement items. The characteristics of the human body are shown in the twelfth figure. , human body side wheel _ levy size ship. Now and tenth. Then 'describe the definition of point set and image coordinate representation.

Ω/正面圖輪廓點集合。Ω,=丨户〇;,,2,.)丨Vi e W Ω,側面圖輪廓點集合。ω: = ) I w € w 卜(柳,呢),咐)):某一輪廓點。 、冲)、z⑻:點6之座標之γy ”分量。 y(F)、z(i〇 .正面圖特徵長度續在的Π維度分量。 綱、柳.側©圖特徵長度S所在的X ”維度分量。 W Μ輪廓點、纟_£過輪_卜序後,g在輪廓排序檔的後—點和前 油仰··輪廓點在輪廓排序槽中的index。Ω/ front view outline point set. Ω, = Seto 〇;,, 2,.) 丨 Vi e W Ω, side view contour point set. ω: = ) I w € w Bu (Liu, 呢), 咐)): A contour point. , 冲), z(8): the γy ” component of the coordinates of point 6. y(F), z(i〇. The Π dimension component of the feature length of the front view. The outline, the willow. The side of the feature length S where the feature length S is located ” Dimension component W Μ contour point, 纟 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

_(Ω/) ··正面輪廓點總數。 ΛΓΜ/μ(Ω,):侧面輪廊點總數。 尸cLroW ·正面圖之形心點。 ^centroid · 侧面圖之形心點。_(Ω/) ··The total number of front contour points. ΛΓΜ/μ(Ω,): The total number of side wheel porches. Corpse cLroW · The shape of the front view. ^centroid · The centroid of the side view.

33 1315042 ^ίη(Ω) = {M«W·))1^-eQ} ^(Ω) = {^(^·))Ι^€Ω} ^η(Ω) = {Μ«(^.))|Ρί6Ω} ^(^) = {Mm(z(^))|PfeQ} 〜(Ω) = { Σ(· Nunt(Q) |“Ω}33 1315042 ^ίη(Ω) = {M«W·))1^-eQ} ^(Ω) = {^(^·))Ι^€Ω} ^η(Ω) = {Μ«(^.) )|Ρί6Ω} ^(^) = {Mm(z(^))|PfeQ} ~(Ω) = { Σ(· Nunt(Q) |“Ω}

Hdist(af) = {| yiP^-yiPj) \ \ € Q/sVz, 3(^.),ζ), αηά{γ{Ρ}\ζχ t ^ j}Hdist(af) = {| yiP^-yiPj) \ \ € Q/sVz, 3(^.),ζ), αηά{γ{Ρ}\ζχ t ^ j}

Hdisms) = {| ^.)-^.) 11 Pj 6 Qi)Vz> 3Wi,Xz)> and(x{Pj) z)i . ^ j} Vdist(Pl,P.)=\z(p.)-z(pj)\Hdisms) = {| ^.)-^.) 11 Pj 6 Qi)Vz>3Wi,Xz)> and(x{Pj) z)i . ^ j} Vdist(Pl,P.)=\z(p .)-z(pj)\

Hdistnf (/>,/>.) =| yiP^-yiP.) |Hdistnf (/>,/>.) =| yiP^-yiP.) |

Hdist^ (/>, p.) =( x(<p_) _ x(^p_) jHdist^ (/>, p.) =( x(<p_) _ x(^p_) j

dlstaf{Pi,Pj) = ^[\ Z(p.) - Z(Pj) i2 +1 istns(Pi,Pj) = ^j\ z(P.) -z(Pj) \2 +1 -T^^yjT 詳分聰行的每項特徵 ’特徵的敘述可 參考文本疋義’參考輪廓法人體計測項目(見附件 義,以基本定義為基礎 解過i數學表示法’利用幾何定義為基礎推t實上ίΓ:ί學義求 34 1315042 本發明之一即以推導出數學方程式來計測若干二維特徵項 如而此等數學方程式之產生即為本發明能夠快速完成二維特徵 二^項目,進而快速求得變形量,以修正樣板模型,使得到擬 =維數位人體模型的關鍵,故此等數學方程式的產生也即為本 =月之特徵所在之…以下謹分別·在正面及侧面輪廓上所 疋之一維特徵項目及求取之的數學方程式·· 一、正面可求的投影量 φ F1.0 頭頂點(HeadPoint) !·人體頭部最高的一點。 2. 人體輪廓上’ Z值最大之點。 3. 輪庳中’Z值最大的一點,若同2值不只時 點之平均值為頭頂點。 呀取所有Dlstaf{Pi,Pj) = ^[\ Z(p.) - Z(Pj) i2 +1 istns(Pi,Pj) = ^j\ z(P.) -z(Pj) \2 +1 -T^ ^yjT Detailed description of each feature of the Congxing's feature can be referred to the text derogatory 'reference contour method body measurement project (see attachment, based on the basic definition of the solution i mathematical representation) based on the geometric definition In fact, one of the inventions is to derive a mathematical equation to measure a number of two-dimensional feature items. The generation of such mathematical equations is that the invention can quickly complete the two-dimensional feature two-item project, and further Quickly obtain the amount of deformation to correct the model model, so that the key to the pseudo-dimensional digit human body model, so the generation of these mathematical equations is also the characteristics of the month = ... respectively, the following are on the front and side contours疋One-dimensional feature item and the mathematical equation to be obtained·· First, the amount of projection available on the front side φ F1.0 Head apex (HeadPoint)!·The highest point on the human head. 2. The maximum Z value on the contour of the human body Point 3. The point where the 'Z value is the largest in the rim. If the same value of 2 is not only the average value of the point is the head apex. Take all

Fi.o符合以下條件: 矸〇 εΩ,Αο = {乃〇;,2)丨 V,,2 = 2職(Ω,)} ΛΜίί,ο) (11) if Num(Fl〇、M,then y(F'〇、= /Num(F'〇)Fi.o meets the following conditions: 矸〇εΩ, Αο = {〇〇;, 2)丨V,, 2 = 2 jobs (Ω,)} ΛΜίί,ο) (11) if Num(Fl〇, M, then y (F'〇, = /Num(F'〇)

Fi 頭寬(HeadBreadth) 1.在頭部兩耳以上,最大的水平線距離。 糊兩糾,4爾綱部左右兩侧最 3.從頭頂點高度往下,搜尋第一次水平寬 為負的位置’該寬度紀錄為頭寬。十見度與下一層變化率Head width (HeadBreadth) 1. Above the ears above the ear, the maximum horizontal line distance. The two sides are corrected, and the left and right sides of the 4th section are the most 3. From the height of the head apex, the first horizontal width is searched for a negative position. The width is recorded as the head width. Ten visibility and the next rate of change

/ - {ΗΛ5ί(Ρβ5Ρ6) | pa e e = 3/,3几1-2_/;+乂_1<0 F^Max{z(f>^ 1315042/ - {ΗΛ5ί(Ρβ5Ρ6) | pa e e = 3/, 3 1-2_/; +乂_1<0 F^Max{z(f>^ 1315042

FzolFzor (左、右)腋下點(人爪^?以nt) 1. 左、右腋窩縫最上端的一點。 2. 左、右内臂曲線和軀幹的交點。 3. ίΐ身.點群從最小γ值的點開始到最小z值間的點群,尋 找取大Z值得左邊腋下點F2.GL。右半身點群從最大γ值的 點開始到最小Z值間的點群找最大z值得右邊腋下點F織。FzolFzor (left and right) points down (human claws ^? to nt) 1. The uppermost point of the left and right ankle sockets. 2. The intersection of the left and right inner arm curves and the torso. 3. ίΐ. The point group starts from the point of the smallest γ value to the point group between the minimum z values, and finds the large Z worth the left point F2.GL. The right half point group starts from the point of the largest γ value to the point group between the minimum Z values to find the maximum z worth the right side of the point.

Suppose , ={/>(/>a</<Aa = m^^(Q^))5>5 = m^(Zw. 々也(13)Suppose , ={/>(/>a</<Aa = m^^(Q^))5>5 = m^(Zw. 々也(13)

Suppose Ω^(ν «<ί'<Α« = ^βχ(>;^(Ω^))9^ = Ι>Ι^^^Ω^^ => z ) =、(Ω0—ftJ?) ⑴)Suppose Ω^(ν «<ί'<Α« = ^βχ(>;^(Ω^))9^ = Ι>Ι^^^Ω^^ => z ) =, (Ω0-ftJ ?) (1))

• F2 頸寬(NeckBreadthJ 1·約在第七頸椎左右,頸部的水平距離。 2. 頭頂以下、腋下點以上,量測得到頸部左右兩側最短的水 平直線距離。 3. 在頭寬F!高度到左邊肩點F3〇L高度間,求取同一水平高度 之人體左右兩半身輪廓點間的最短距離。 。又• F2 neck width (NeckBreadthJ 1·about the seventh cervical vertebra, the horizontal distance of the neck. 2. Below the head and below the armpit, measure the shortest horizontal straight distance between the left and right sides of the neck. 3. In the head width F! The height is between the height of the left shoulder point F3〇L, and the shortest distance between the contour points of the left and right body of the human body at the same level is obtained.

Suppose = {^ | € Q^ziF,) > z(i>) > z(F30L)} =>F2= Min(Hdist(Qneck)) ( ^) • FiolFior (左、右)肩點(shoulderPoint) 1. 左、右肩胛骨與鎖骨交界處最外側突出點。 2. 左、右肩部曲率最大的一點。 3. 左半身點群中,index值介於頭頂點到最小γ值的點之間的 點群’分別找出與左邊腋下點F2.0L同Y值的點及同的 點,並在此兩點之間找BV值最大處得F3〇L。右半身點群 中’ index值介於頭頂點到最大γ值的點之間的點群,分別 36 1315042 找出與右邊腋下點F2.〇r同Y值的點及同z值的點,並 兩點之間找BV值最大處得巧皿。 α<ΐ<β,Suppose = {^ | € Q^ziF,) >z(i>)> z(F30L)} =>F2= Min(Hdist(Qneck)) ( ^) • FiolFior (left and right) shoulder points ( shoulderPoint) 1. The outermost protruding point at the junction of the left and right shoulder blades and the clavicle. 2. The point where the curvature of the left and right shoulders is the largest. 3. In the left half-point group, the point group whose index value is between the head vertex and the minimum γ value respectively finds the point and the same point with the Y value of the left sub-point F2.0L, and is here. Find the maximum BV value between the two points to get F3〇L. In the right half of the group, the point group between the point where the index value is between the head apex and the maximum γ value, respectively, 36 1315042 finds the point with the Y value and the same z value as the right squat point F2.〇r, And find the BV value between the two points to get the most. &<ΐ<β,

Suppose ^〇^^a<ind^F2〇Lyy^ z{fi)~z{F2 ) ^>F3XiL=Max(BV(P^)Suppose ^〇^^a<ind^F2〇Lyy^ z{fi)~z{F2 ) ^>F3XiL=Max(BV(P^)

Suppose ^lrighl_shoulder = Ρι\Ρ^ηβ, α<ΐ<β, a > index{F20R), z{a) = z(F20R),fi > mdex(i?^y{p) = y{F2_0R) (17)Suppose ^lrighl_shoulder = Ρι\Ρ^ηβ, α<ΐ<β, a > index{F20R), z{a) = z(F20R),fi > mdex(i?^y{p) = y{F2_0R ) (17)

並求取 (19) ^FyoR=Max(BV{P>j) • F3 肩寬(Shoulder Breadth) 1.當手臂自然擺放時,兩肩峰的橫向距離。 2. 左右兩肩端點的直線距離。 3. 先計算出人體輪廓點上之左右兩肩點F3.〇LF3〇R,並求取之 間的直線距離。And find (19) ^FyoR=Max(BV{P>j) • F3 Shoulder Breadth 1. The lateral distance of the shoulders when the arms are placed naturally. 2. The linear distance between the ends of the left and right shoulders. 3. First calculate the left and right shoulder points F3.〇LF3〇R on the contour points of the human body, and find the straight line distance between them.

Fz=dist{F^L,F30R) (18) • F4 胸寬(Bust Breadth) 1.胸寬為胸部左右腋下點之距離。 · 2.左、右兩腋下點之間的直線距離。 3·先計算出人體輪廓點上之左右兩腋下點F2就F2QR, 之間的直線距離。 F^dist{F2〇L,F2〇R) F5.〇 聘下點(Crotch Point) 1.胯部最上端一點。 2. 左、右兩腿内曲線最高的交點。 3. 求取人體左、右内腿曲線中2值最大的點。由該點朝名方 向1/30身高範圍,尋求在該範圍的腿内曲線的所有排序點 的中間點作為胯下點。 定義左右腿内曲線為: 37 1315042 在點輪廓排序條件下’由右半身最低點至左半身最低點之間 的點群所構成的曲線。 α<ΐ<β,Fz=dist{F^L, F30R) (18) • F4 Bust Breadth 1. The chest width is the distance between the left and right sides of the chest. · 2. The straight line distance between the left and right points. 3. First calculate the straight line distance between the left and right points of the human contour point F2 on F2QR. F^dist{F2〇L, F2〇R) F5.〇 Crotch Point 1. The top of the crotch. 2. The intersection with the highest curve in the left and right legs. 3. Find the point with the largest value of 2 in the curve of the left and right inner legs of the human body. From this point to the 1/30 height range, the middle point of all the sorting points of the curve in the leg of the range is sought as the squat point. The curves in the left and right legs are defined as: 37 1315042 The curve formed by the group of points between the lowest point of the right half of the body and the lowest point of the left half of the body under the condition of point contour sorting. &<ΐ<β,

Suppose Ω 'inside 一 legiine a = Min {index{Znia (Ω^)), indexiz^ ))}, β =Max{index(z,^ (Ω^ ))}Suppose Ω 'inside a legiine a = Min {index{Znia (Ω^)), indexiz^ ))}, β =Max{index(z,^ (Ω^ ))}

Suppose Ω _ pointSuppose Ω _ point

Pi \ Pie Qi”Side_ieg/i„e,a &lt; i &lt; β, 〈ind如Huma^ β &gt; index(Zttm (aM^e)),Hdist{fi,z_ {^^)) = HjmanHeight &lt;aPi \ Pie Qi"Side_ieg/i„e,a &lt; i &lt; β, <ind as Huma^ β &gt; index(Zttm (aM^e)), Hdist{fi,z_ {^^)) = HjmanHeight &lt ;a

Yiindex{〇lcr〇tch 。Fs.° Num[Q—) (20) 參 F5 正面腰寬(Horizontal Waist Breadth) 1. 人體自然呼吸時,在臀骨和肋骨間,量測得到軀幹左右兩 侧最短的水平直線距離。 2. 界於腋下點和胯下點高度中間,躺幹左右兩侧最短的水平 直線距離。 3. 由侧面腰寬Si所在的Z值對應到正面輪靡之腰寬。Yiindex{〇lcr〇tch. Fs.° Num[Q—) (20) Reference F5 Front Waist Breadth 1. When the human body naturally breathes, measure the shortest horizontal straight line distance between the left and right sides of the trunk between the hip bone and the rib. 2. Between the lower point of the armpit and the height of the armpit, lay the shortest horizontal straight distance between the left and right sides. 3. The Z value of the lateral waist width Si corresponds to the waist width of the front rim.

PaeQJL,PbeQJR,z(Pa) = z{Pb) = Z{SX) =&gt; F5 = Min{Hdistaf (Pa,Pb)) (21) • F6 自然腰寬(Natural Waist Breadth) 1.人體自然呼吸時,在臀骨和肋骨間,量測得到軀幹周徑 小位置。 &amp; 2·界於腋下點和胯下點高度中間,軀幹左右兩側最短的直 距離。 v' 3.在腋下點FuFm到胯下點Fa的Z值高度間,求取人體 38 1315042 軀幹左右兩侧輪廓點間的最短距離。PaeQJL, PbeQJR, z(Pa) = z{Pb) = Z{SX) => F5 = Min{Hdistaf (Pa, Pb)) (21) • F6 Natural Waist Breadth 1. Natural breathing At the time, between the hip bone and the rib, the small circumference of the trunk is measured. &amp; 2. The shortest straight distance between the left and right sides of the trunk in the middle of the height of the squat point and the squat point. v' 3. Find the shortest distance between the contour points on the left and right sides of the torso between the point of the Fu value of the FuFm and the height of the Z value of the lower arm.

Suppose nnear wibmne = {(/&gt; I /&gt; 6 Ω/,ζ(^)ρ_(5:时2 &gt; Z(i&gt;) &gt; z(F50))} =&gt;F6 =Min{dist{€lnear mmne)) (22) ♦ F7 臀寬(HipBreadth) 1·人體挺直的站立時,圍繞著臀部轉子粗隆處的最大正面投 影。 2. 介於水平腰寬以下,胯下點以上,軀幹左右兩侧最大的水 平線距離。Suppose nnear wibmne = {(/&gt; I /&gt; 6 Ω/, ζ(^)ρ_(5: hour 2 &gt;Z(i&gt;)&gt; z(F50))} =&gt;F6 =Min{dist {€lnear mmne)) (22) ♦ F7 HipBreadth 1. The maximum frontal projection around the trochanter of the buttocks when the body is standing upright. 2. Below the horizontal waist width, above the kneeling point, the maximum horizontal line distance between the left and right sides of the torso.

3. 由侧面臀寬S4所在的Z值對應到正面輪廓之臀寬。3. The Z value from the side hip width S4 corresponds to the hip width of the front contour.

Suppose y(Pa)^y(Pb), y{Pe) = y{Pcentroid), = = z(Pc) = z{S,) e fl. eQy F7 = Min{Hdistaf (Pa,pc)) + Min(Hdista/ (Pb,Pc)) (23) • FslF8r (左、右)胯下腿寬(Thigh Breadth) 1·人體挺直的站立、沒有肌肉緊繃時,在(左、右)大腿左右 兩邊最高位置的水平直線距離。 2. 跨下點到(左、右)大腿左右兩邊外侧的水平線距離。 3. 與胯下點F5.0同高之左右腿分別的水平寬距。Suppose y(Pa)^y(Pb), y{Pe) = y{Pcentroid), = = z(Pc) = z{S,) e fl. eQy F7 = Min{Hdistaf (Pa,pc)) + Min (Hdista/ (Pb,Pc)) (23) • FslF8r (left and right) Thigh Breadth 1. When the human body stands upright and there is no muscle tension, it is highest on both sides of the left and right thighs. The horizontal straight distance of the position. 2. Cross the point to the horizontal line distance between the left and right sides of the thigh (left and right). 3. The horizontal width of the left and right legs of the same height as the underarm F5.0.

Suppose ^n€ar ^high = {p, I y{Pd ^ y(F5_0), z(Pt) = z(FJ0), ^ e ) ^Fsl =Min{Hdistaf{F5Si,Pa% Pa eQnearJt;fttliigh (24)Suppose ^n€ar ^high = {p, I y{Pd ^ y(F5_0), z(Pt) = z(FJ0), ^ e ) ^Fsl =Min{Hdistaf{F5Si,Pa% Pa eQnearJt;fttliigh ( twenty four)

Suppose ^near righlthigh - I y(F^) φ y(FS0), z(i^) = z(FS0\p. e | = Minimise,Pb% pb,anear righmgh (25) • F9L F9r (左、右)低膝寬(Low Knee Breadth ) 1. 膝蓋骨最下緣的水平寬距。 2. 兩腿膝蓋部位最下方之水平間距β 39 1315042 3.由胯下點F5,0沿左、右腿内側找尋1/8至3/8身高長度間且 f靡曲線開分別朝+Y方向(求得f9L)、朝·γ方向(求 得Fpr)之最大BV值,分別求其左、右膝水平寬距。Suppose ^near righlthigh - I y(F^) φ y(FS0), z(i^) = z(FS0\p. e | = Minimise, Pb% pb, anear righmgh (25) • F9L F9r (left and right) Low Knee Breadth 1. The horizontal width of the lowermost edge of the kneecap. 2. The horizontal spacing at the bottom of the knees of the two legs is β 39 1315042 3. Search for the inside of the left and right legs from the underarm F5,0 The maximum BV value between 1/8 and 3/8 height length and the f靡 curve opening in the +Y direction (f9L) and the γ direction (Fpr) are obtained, and the left and right knee horizontal widths are respectively obtained. .

Suppose = {Pt I Pi e Qinside jegiine! } 臟(Ω/) + |Ζπώι(Ω/)&lt; 咐)&lt;(|ζ·(Ω/) + ^‘(ω,))}Suppose = {Pt I Pi e Qinside jegiine! } Dirty (Ω/) + |Ζπώι(Ω/)&lt;咐)&lt;(|ζ·(Ω/) + ^‘(ω,))}

Let k = 35=&gt;^Pi^^inside ]eftIegline3Pa 3BV(Pa)&gt;BV(P.) F9L = Hdistaf (Pa,Pb), Pb e (26) where y(Pa) ^ y(Pb), z(Pa) = 2(Pft)jLet k = 35=&gt;^Pi^^inside ]eftIegline3Pa 3BV(Pa)&gt;BV(P.) F9L = Hdistaf (Pa,Pb), Pb e (26) where y(Pa) ^ y(Pb), z(Pa) = 2(Pft)j

Suppose ^ ι Ω^} 1 7 (-^(Ω/)+-ζ^(Ω/)&lt;ζ(ί&gt;)&lt;(|Ζη)κ(Ω/)+5^(Ω^)}Suppose ^ ι Ω^} 1 7 (-^(Ω/)+-ζ^(Ω/)&lt;ζ(ί&gt;)&lt;(|Ζη)κ(Ω/)+5^(Ω^)}

Let A: = 35 =&gt; Vi^. e B Pc 3 BV(PC) &gt; BV^P,) F9R :Hdistn,{Pc,Pd、,Ρά 併 (27) wherey(Pc)^y(Pdl z(Pc) = z(Pd)9Pc9Pd gQjr • Fiol Fior (左、右)中腿寬(Mid Thigh Breadth) 1·人體挺直的站立、沒有肌肉緊端時’脖下至膝蓋中點高度, (左、右)大腿左右兩邊的水平距離。 2.胯下至(左、右)膝寬間中點的水平線距離。 3·胯下點F5.〇和低膝寬F1SLF15R間高度中點的z值分別取 左、右大腿的水平寬距。 ^xol = Hdist(Pa, Pb) ( 28 ) where y{Pa) ^ y{Pb), z(Pa) = Z(PJ = £(/s.〇) + 4^sl),p 2 戽 (29)Let A: = 35 =&gt; Vi^. e B Pc 3 BV(PC) &gt; BV^P,) F9R :Hdistn,{Pc,Pd,,Ρά and (27) wherey(Pc)^y(Pdl z (Pc) = z(Pd)9Pc9Pd gQjr • Fiol Fior (left and right) Mid Thigh Breadth 1 · The body stands upright, no muscles are tight, 'lower to the knee midpoint, (left , right) the horizontal distance between the left and right sides of the thigh. 2. The horizontal distance from the midpoint of the knee width to the (left and right) knees. 3. The z value of the height midpoint between the lower point F5.〇 and the low knee width F1SLF15R respectively Take the horizontal width of the left and right thighs. ^xol = Hdist(Pa, Pb) ( 28 ) where y{Pa) ^ y{Pb), z(Pa) = Z(PJ = £(/s.〇) + 4^sl), p 2 戽(29)

Fior =Hdisi(Pc,Pd) 1315042 where y(Pc)^y{Pd), z{Pc) = z(Pd) = .ziF^.tz^m\ Ρ&gt; ρΛ&amp;ςιβ •卩11.〇1^11皿(左、右)腳跟點(;故61?0恤;) 1. 左、右脛骨内侧下緣最突點。 2. 在左、右小腿至腳掌曲線,曲率最大之點。 3. 從左、右半身最低點往上約ι/8身高長度,在此範圍求取 左、右腿内曲線BV值最大之處。Fior =Hdisi(Pc,Pd) 1315042 where y(Pc)^y{Pd), z{Pc) = z(Pd) = .ziF^.tz^m\ Ρ&gt;ρΛ&amp;ςιβ •卩11.〇1^ 11 dishes (left, right) heel point (; therefore 61? 0 shirt;) 1. The left and right tibia innermost edge of the most prominent point. 2. In the left and right calf to sole curve, the point of maximum curvature. 3. From the lowest point of the left and right half-length to the upper ι/8 height, in this range, find the maximum BV value in the left and right legs.

Suppose anear Hlheel = {/&gt; I € ^imideMaegUne,z{P^ &lt; (^ηΒΧ(Ω/)+|ζηιίη(Ω/))}Suppose anear Hlheel = {/>gt; I € ^imideMaegUne,z{P^ &lt; (^ηΒΧ(Ω/)+|ζηιίη(Ω/))}

Let A: = 35 =&gt;V/&gt;eQ(W(fe w/ne 3 〇£ =Max{_BV{P^) (30)Let A: = 35 =&gt;V/&gt;eQ(W(fe w/ne 3 〇£ =Max{_BV{P^) (30)

Suppose nnear_rtghtieel = {/? I λ:8Λ//^,2(/&gt;) &lt; (^ζηΗΧ(Ω/)+^-ζΙιώι(Ω/))}Suppose nnear_rtghtieel = {/? I λ:8Λ//^,2(/&gt;) &lt; (^ζηΗΧ(Ω/)+^-ζΙιώι(Ω/))}

Ld k 35 ^ ^inside^rightlegline 3 FU0R=Max(BV(I&gt;)) (31) 鲁?111^11厌(左、右)小腿寬(〇&amp;比丑撕(1111) 1. 人體挺直的站立、兩腿稍微的分開,體重均勻的分佈在兩 腿之間時,小腿(脛骨上緣以下)左右兩邊的最大水平距 離。 2. 小腿部位左右兩邊的最大水平距離。Ld k 35 ^ ^inside^rightlegline 3 FU0R=Max(BV(I&gt;)) (31) Lu? 111^11 厌 (left, right) calf width (〇 &amp; ugly tear (1111) 1. The body stands upright, the legs are slightly separated, and the weight is evenly distributed between the legs, the calf (the tibia) The maximum horizontal distance between the left and right sides of the edge. 2. The maximum horizontal distance between the left and right sides of the calf.

3. 在左、右低膝寬F9LF9r到腳跟Fh olFh.or的Z值高度間, 分別求取左、右小腿的表大水平寬距。3. In the left and right low knee width F9LF9r to the heel height of the heel Fh olFh.or, find the large horizontal width of the left and right calves respectively.

Suppose ^ = {(Pi I P.t G Q^,z(F9i) &gt; Z(P.) &gt; z(F110J)} F1U =Max{Hdist(aneor 1φ〇ι/)) ( 32 )Suppose ^ = {(Pi I P.t G Q^,z(F9i) &gt; Z(P.) &gt; z(F110J)} F1U =Max{Hdist(aneor 1φ〇ι/)) ( 32 )

SupposeQeear righlcalf = {(/&gt; I P.t e Ωβ,ζ(^) &gt; 2(/&gt;) &gt; z(FUOJ?))}SupposeQeear righlcalf = {(/&gt; I P.t e Ωβ, ζ(^) &gt;2(/&gt;)&gt; z(FUOJ?))}

Fn, =Mox{HdisHClnearrightcalf)) ⑶) • F12L F12r (左、右)最小腿寬(Min Calf Breadth ) 1‘人體挺直的站立、兩腿稱微的分開,體重均勻的分佈在兩 1315042 腿之間時’小腿(脛骨上緣以下)左右兩邊的最小水平距 離。 2. 小腿部位左右兩邊的最小水平距離。 3. 在左、右低膝見F9LF9R到腳跟Fu.olF 11.OR 的z值高度間, 分別求取左、右小腿的最小水平距離。Fn, =Mox{HdisHClnearrightcalf)) (3)) • F12L F12r (left and right) Min Calf Breadth 1' The body stands upright, the legs are slightly separated, and the weight is evenly distributed in the two 1315042 legs. The minimum horizontal distance between the left and right sides of the calf (below the upper edge of the humerus). 2. The minimum horizontal distance between the left and right sides of the calf. 3. In the left and right lower knees, see the F9LF9R to the heel height of the heel Fu.olF 11.OR, and find the minimum horizontal distance between the left and right calves.

Suppose \Pi^QJL,z(F9L)&gt;z(Pi)&gt;z(FU0L))}Suppose \Pi^QJL,z(F9L)&gt;z(Pi)&gt;z(FU0L))}

Fl2L =Min{Hdist{€lnear leftt[iacalf)) (34)Fl2L =Min{Hdist{€lnear leftt[iacalf)) (34)

Suppose ^near righlniacalf = {(Pt IP. € Ω^,ζ^) &gt; z(^&gt; &gt; z(FU0R))} = (獅ί(Ω·呦,一,,)) (35) ♦Fi3.〇LFi3.〇RCi、S&gt;te^a(NeckPoint) 1. 左、右侧頸部僧帽肌前緣與肩稜線之交點。 2. 左、右頸部最彎曲的一點。 3. 在頸寬F2的高度至肩點F3.〇LF3.〇R的高度之間,分別尋找 A=20、h35、b50的BV值最大的點,取此三點的平均。Suppose ^near righlniacalf = {(Pt IP. € Ω^,ζ^) &gt;z(^&gt;&gt; z(FU0R))} = (Liang ί(Ω·呦,一,,)) (35) ♦ Fi3.〇LFi3.〇RCi,S&gt;te^a(NeckPoint) 1. The intersection of the left and right neck cap muscles and the shoulder line. 2. The most curved point of the left and right neck. 3. Between the height of the neck width F2 and the height of the shoulder point F3.〇LF3.〇R, find the point where the BV value of A=20, h35 and b50 is the largest, and take the average of the three points.

Suppose Ω_ =|/&gt;|i&gt;eQ^&gt;z(F3.0J&lt;z(^)&lt;(^2_(Q/)+^zmin(Q/))| ^ VPc〇 η F _ Mu(5F(i&gt;))L20 +Max{BV{Pi))\k^ +Max{BV{P^\ I near lefineck J J 13.0X —* Γ —-- (36)Suppose Ω_ =|/&gt;|i&gt;eQ^&gt;z(F3.0J&lt;z(^)&lt;(^2_(Q/)+^zmin(Q/))| ^ VPc〇η F _ Mu( 5F(i&gt;))L20 +Max{BV{Pi))\k^ +Max{BV{P^\ I near lefineck JJ 13.0X —* Γ —-- (36)

Suppose ^near_righmeck = I /&gt; e Q^ziF^) &lt; &lt; (^^(Ω7) + ))| VPc〇 Ί F . MaxiBV^) |t=20 +Max{BV{P^) |i=35 +Max(BF(I^.)) L ,r v^t^^near nghtneck d Λ3.ΟΛ ~------^^0 (37) 春 F13 躺幹長(TrunkLength) 1. 人體挺直的站立時,身體軀幹總長度。 2. 從平均側頸點高度到胯下點之垂直高度差。 42 1315042 3.左右側頸點F^.or平均高度到跨下點&amp;〇之z值差距 F = Z(^13.0£ ) + 2(^〇^) 1 2 1 5〇) (38) ♦ FM 臀高(HipHeight) 1. 人體挺直的站立時,臀寬的水平線到腳跟的垂直距離。 2. 從臀寬到腳跟之垂直高度差。 3. 臀見F7水平尚度到腳跟點f11()lf11〇r平均高度之z值差 距。 ^4 = zC^li.〇£) + zd〇j?) 2 -明) (39)Suppose ^near_righmeck = I /&gt; e Q^ziF^) &lt;&lt; (^^(Ω7) + ))| VPc〇Ί F . MaxiBV^) |t=20 +Max{BV{P^) |i =35 +Max(BF(I^.)) L ,rv^t^^near nghtneck d Λ3.ΟΛ ~------^^0 (37) Spring F13 Lying long (TrunkLength) 1. The body is quite The total length of the body torso when standing straight. 2. The difference in height from the average side neck point height to the underarm point. 42 1315042 3. The left and right side neck points F^.or average height to the cross point &amp; 〇 z value gap F = Z (^13.0 £) + 2 (^〇^) 1 2 1 5〇) (38) ♦ FM Hip Height (HipHeight) 1. The vertical distance from the horizontal line of the hip width to the heel when the body is standing upright. 2. The difference in height from the hip width to the heel. 3. The hips see the F7 level to the heel point f11 () lf11 〇 r average height of the z value difference. ^4 = zC^li.〇£) + zd〇j?) 2 - Ming) (39)

• Fi5lFi5r (左、右)膝寬(Knee Breadth) 1. 左右脛骨的高度的膝蓋寬度。 2. 在脛骨的高度,左右腿兩侧點的水平距離。 3. 由胯下點Fm沿左、右腿内侧找尋1/8至3/8身高長度間且 輪廓曲線開口分別朝+Y方向(求得F15L)、朝-Y方向(求 得F15R)之最大BV值,分別求其左、右膝水平寬距。 丨 e 一 I Ω几,• Fi5lFi5r (left and right) Knee Breadth 1. The knee width of the height of the left and right cheekbones. 2. At the height of the humerus, the horizontal distance between the points on both sides of the left and right legs. 3. Find the maximum length of the 1/8 to 3/8 height between the left and right legs by the Fm point Fm and the contour curve opening to the +Y direction (F15L) and the Y-direction (F15R) BV value, respectively, the horizontal width of the left and right knees.丨 e an I Ω,

Suppose Qiwjae Jeftlegline (g Zmax (^/) + — (Qf) &lt; z(i]) &lt; (- (0^.) + - Z^B (Qf))Suppose Qiwjae Jeftlegline (g Zmax (^/) + — (Qf) &lt; z(i]) &lt; (- (0^.) + - Z^B (Qf))

F\5l = Hdistaf、Pa,P^),Pb 6 ζϊ凡 (40)F\5l = Hdistaf, Pa, P^), Pb 6 ζϊ凡 (40)

wherey(Pa)^y(Pb),z(Pa) = z(Pb),PaJPb^ilJL I G 〇&gt;insi4e jegiine I ,Wherey(Pa)^y(Pb),z(Pa) = z(Pb),PaJPb^ilJL I G 〇&gt;insi4e jegiine I ,

Suppose Clinside rigMiegiine 4^(Ω/) + ^π»η(Ω/)&lt;ζ(/?)&lt;(|ζιη3Χ(Ω/) + |ζπ,η(Ω/))Suppose Clinside rigMiegiine 4^(Ω/) + ^π»η(Ω/)&lt;ζ(/?)&lt;(|ζιη3Χ(Ω/) + |ζπ,η(Ω/))

Let k = Z5^&gt;yP^Qinside^ghtlegline 3 P^BViP^BViP,) 43 (41) 1315042 where y(Pc) ^ y{Pd ), Z(PC) = z{Pd ), Pc, e • Fi6L Fi6R (左、右)膝高(Knee Height) 1. 膝寬水平高度到腳跟的垂直距離。 2. 從膝寬到腳跟之垂直高度差。 3. 左、.右膝寬Fi5lFi5R^J^平南度到左、右腳跟點Fii.olFii.or 之Z值差距。 (42) ^16« = Z(^ll.O/t)~Z(^lSJl) (43) 春 F17 Scye 深(Scye Deptii) 1. 侧頸點到腋下點水平高度的垂直距離。Let k = Z5^&gt;yP^Qinside^ghtlegline 3 P^BViP^BViP,) 43 (41) 1315042 where y(Pc) ^ y{Pd ), Z(PC) = z{Pd ), Pc, e • Fi6L Fi6R (left, right) Knee Height 1. The vertical distance from the knee width to the heel. 2. The difference in height from knee width to heel. 3. Left, right knee width Fi5lFi5R^J^ Pingnan degree to left and right heel point Fii.olFii.or Z value gap. (42) ^16« = Z(^ll.O/t)~Z(^lSJl) (43) Spring F17 Scye Deep (Scye Deptii) 1. The vertical distance from the side of the neck to the level of the underarm.

2. 從侧頸點到腋下點之垂直高度差。 3. 左、右侧頸點Fi3.GlFi3.GR連線’左、右腹下點F2.GLF2.OR連 線,取兩連線中點之Z值差。 (44)2. The vertical height difference from the side neck point to the underarm point. 3. Left and right neck point Fi3.GlFi3.GR connection 'F2.GLF2.OR line left and right lower abdomen, take the Z value difference between the midpoints of the two links. (44)

Fn= Vdist(Fii0L +Fuor ,F2 0L +F20r·) • Fi8 大腿長(Thigh Length) 1. 介於胯下點到膝寬水平高度之間的垂直距離。 2. 從胯下點到膝寬之垂直高度差。 3. 胯下點F5.〇到膝寬F15LF15R平均高之Z值差距。 Ρη=ζ{Ρ5〇)_^ψΕηά (45) • Fi9 胯高(内腿長)(Cotch Height) 1. 人體挺直的站立時,介於胯下和腳跟的直線距離。 2. 從胯下點到腳跟點之垂直高度差。 3. 脖下點F5.0到左、右腳跟點Fii.olFii.or平均向度之Z值差 距。 F' — F5.〇) + Vdist(Fu.0R, F5.q) ( 46 ) 1315042 F*2〇 肩高(Shoulder Height) 1. 人體挺直的站立時,從肩點到腳跟的垂直高度。 2. 從兩肩點到腳跟點之兩垂直高度差的平均值。 3. 兩肩點Fwl F3.0R之平均高度到兩腳跟Fu 〇lFii 〇R平均高声Fn= Vdist(Fii0L +Fuor , F2 0L +F20r·) • Fi8 Thigh Length 1. The vertical distance from the underarm point to the horizontal height of the knee. 2. The vertical height difference from the kneeling point to the knee width. 3. 胯 点 point F5. 〇 to the knee width F15LF15R average high Z value gap. Ρη=ζ{Ρ5〇)_^ψΕηά (45) • Fi9 Height (Cotch Height) 1. The straight line between the underarm and the heel when the body stands upright. 2. The vertical height difference from the kneeling point to the heel point. 3. Under the neck point F5.0 to the left and right heel points Fii.olFii.or the average Z value difference. F' — F5.〇) + Vdist(Fu.0R, F5.q) ( 46 ) 1315042 F*2〇 Shoulder Height 1. The vertical height from the shoulder to the heel when the body is standing upright. 2. The average of the two vertical height differences from the shoulder to the heel. 3. The average height of the two shoulder points Fwl F3.0R to the two heels Fu 〇lFii 〇R average high sound

之Z值差距。 X 2 - (47) F21 頸高(NeckHeight) 1. 人體挺直的站立時,從侧頸點到腳跟的垂直高度差。The Z value gap. X 2 - (47) F21 NeckHeight 1. The vertical height difference from the side neck to the heel when the body is standing upright.

2. 從侧頸點到腳跟點之垂直高度差。 3. 兩侧頸點F賊F酿之平均高度到兩腳跟fu 〇lFu肌平均 高度之Z值差距。 2 (48) F22 胯腰距(BodyRise): i·腰寬水平高度到胯下點的垂直距離。 2.從腰寬水平高度到胯下點之垂直高度差 水平腰寬F5水平高度到胯下點f之z值差距。 ^ = ^s)-2(F,0) ·2. The difference in vertical height from the side neck point to the heel point. 3. The average height of the neck thief F from both sides to the Z value of the average height of the heel fu 〇lFu muscle. 2 (48) F22 BodyRise: i. The vertical distance from the waist height level to the underarm point. 2. From the horizontal height of the waist to the vertical height difference of the underarm point. The horizontal waist width F5 level to the z point of the underarm point f. ^ = ^s)-2(F,0) ·

Λ側面可求的投影量 Si.〇 頭頂點(Side Head Point) L人體頭部最高的一點。 2. 人體輪廓上’ Z值最大之點。 3. 輪廓中,Z值最大的一點,若同z值不只一點時,取所有 點之中間值為頭頂點。 ^10 eQ/&gt; ^〇={^(x,z)l Vi, ζ = ζαακ(Ω1)} 桃.〇)The amount of projection available on the side of the Si Si. S Head Head Point The highest point of the human head. 2. The point where the Z value is the largest on the contour of the human body. 3. In the contour, the point with the largest Z value. If the same z value is not only one point, take the middle value of all points as the head vertex. ^10 eQ/&gt; ^〇={^(x,z)l Vi, ζ = ζαακ(Ω1)} Peach.〇)

&quot;师(u y (50) if Num(Sl0)^:i,χ(υ= η 45 1315042 • S 丨侧面腰寬(Side Waist Breadth) 1. 人體自然呼吸時,在臀骨和肋骨間,量測得到侧面軀幹後 腰部至腹部最短之水平間距。 2. 界於腋下點和胯下點高度中間,側面躺幹前後身之最短水 平間距。 3. 界於腋下點F2.0LF2.0R平均高度和胯下點ρ·5〇高度間,取後 身輪廟曲線z值介於1/2至3/4之間的點群,若faceright〇 貝1J ’取最小X值之座標點,若非face rightO,則取最大χ 值之座標點’與前身曲線的水平間距。&quot;师(uy (50) if Num(Sl0)^:i,χ(υ= η 45 1315042 • S S Side Waist Breadth 1. When the human body naturally breathes, between the hip bones and the ribs, The shortest horizontal distance from the waist to the abdomen was measured. 2. The shortest horizontal spacing between the front and the back of the body in the middle of the height of the inferior and inferior points. 3. The average of the F2.0LF2.0R in the lower part of the armpit Between the height and the height of the squatting point ρ·5〇, take the point group whose z-value is between 1/2 and 3/4, if the faceright mussel 1J 'takes the coordinate point of the smallest X value, if not Face rightO, take the horizontal distance between the coordinate point of the maximum χ value and the curve of the precursor.

Suppose ΩηωΓ = {P. IP. e QSuppose ΩηωΓ = {P. IP. e Q

(-(Ωί ) + - (Ω, )) &lt; z{P.) &lt; (^ (Ω, ) + (Q, ))} near _ badcwaist if face_rightQ, x(Pa) = Max{x{P.)\ /&gt; e Ω if not face_right〇, x(Pa) = Pt 6(-(Ωί ) + - (Ω, )) &lt; z{P.) &lt; (^ (Ω, ) + (Q, ))} near _ badcwaist if face_rightQ, x(Pa) = Max{x{P .)\ /&gt; e Ω if not face_right〇, x(Pa) = Pt 6

Sr =Hdistni(Pa,Pb),wherez(Pb) = z(Pa)&gt;Pb (51) 鲁 S2_〇 腳根點(Side Heel Point) 1.脛骨内側下緣最突點。 2·在小腿至腳掌曲線,曲率最大之點。Sr = Hdistni (Pa, Pb), wherez (Pb) = z (Pa) &gt; Pb (51) Lu S2_〇 Side Heel Point 1. The most prominent point on the medial lower edge of the humerus. 2. In the calf to sole curve, the point of maximum curvature.

3.取輪廓最小Ζ值到輪廓最大Ζ值間距的最底下1/8範圍’ 求後身曲線BV值最大之處。3. Take the minimum Ζ value of the contour to the bottom 1/8 range of the maximum Ζ value of the contour ‘ to find the maximum BV value of the back body curve.

Suppose 〇„ear_sidehee, = {/^. IP. e Qsb, (Ω,) &lt; ^(/^) &lt; (_ ) + Z^jSuppose 〇„ear_sidehee, = {/^. IP. e Qsb, (Ω,) &lt; ^(/^) &lt; (_ ) + Z^j

Let sideied 3 520 =Mxx(5F(/&gt;)) (52) • 身高(Human Height) 1. 人體挺直的站立時,從側面圖所示,腳底到頭頂的直線距 離。 2. 腳跟點到頭頂點的高度差。 46 1315042 3.從腳跟S2.0到頭頂Su在Z值間距。 =z(Su0)-z(S2_0) (53) • S3 腰高(WaistHeight) 1. 人體挺直的侧向站立時,從側面腰寬到腳跟的垂直高度差。 2. 從側面腰寬到腳跟之垂直高度差。 3. 水平腰寬31高度到腳跟點S2.〇之Z值差距。 =z(5,)-z(520) (54) ♦ S4 側面臀寬(Side Hip Breadth ) 1. 人體挺直的站立時,圍繞著臀部轉子粗隆處的最大側面投 影。 2. 界於水平腰寬以下,胯下點以上,前半身曲線和後半身曲 線之間最長的水平直線距離。 3·在側面腰寬Si到胯下點F5.〇的Z值高度間的點群,若face right〇則,取最大X值之座標點,若非faceright(),則取最 小X值之座標點,與前身曲線的水平間距。 ^near_sMehip ={^1^6 Qsb, z(5,) &gt; ζ(ί]) &gt; z(Fs〇)} if face_right〇, Pt ^ if not face_right〇, x(Pa) = Min(x(P;)), P{ ^^near_sidehip S4=Hdisicl (Pa,Pb), where z(Pb) = z(Pa), Pb^〇sf (55) 春 S5 腿寬(Side Thigh Breadth) 1. 人體挺直的站立時’沒有肌肉緊繃時,在大腿最高位置的 水平寬距。 2. 在胯下點高度,大腿兩侧的水平寬距。 3. 相對於正面胯下點F5.0同Z值高度的兩輪廓點,計算其水 平寬距。 47 (56) (56) ^S^Hdistns(Pa,Pb) • S6 膝寬⑻也 Knee Breadth)Let sideied 3 520 =Mxx(5F(/&gt;)) (52) • Human Height 1. When the human body stands upright, the straight line from the sole to the top of the head is shown from the side view. 2. The height difference between the heel point and the head apex. 46 1315042 3. From the heel S2.0 to the top Su is at the Z value spacing. =z(Su0)-z(S2_0) (53) • S3 WaistHeight 1. The vertical height difference from the side waist width to the heel when the body is standing upright. 2. From the side waist width to the vertical height difference of the heel. 3. The horizontal waist width is 31 to the heel point S2. =z(5,)-z(520) (54) ♦ S4 Side Hip Breadth 1. When the body stands upright, it projects around the largest side of the hip rotor. 2. The boundary is below the horizontal waist width, above the kneeling point, the longest horizontal straight line distance between the curve of the front body and the curve of the back of the body. 3. The point group between the side waist width Si and the Z value of the underarm point F5.〇, if face right〇, take the coordinate point of the maximum X value, if not faceright(), take the coordinate point of the smallest X value , the horizontal distance from the curve of the predecessor. ^near_sMehip ={^1^6 Qsb, z(5,) &gt; ζ(ί)) &gt; z(Fs〇)} if face_right〇, Pt ^ if not face_right〇, x(Pa) = Min(x( P;)), P{ ^^near_sidehip S4=Hdisicl (Pa,Pb), where z(Pb) = z(Pa), Pb^〇sf (55) Spring S5 Leg Thigh Breadth 1. Straight standing when there is no muscle tension, the horizontal width at the highest position of the thigh. 2. At the height of the squat point, the horizontal width of the sides of the thigh. 3. Calculate the horizontal width of the two contour points relative to the height of the F5.0 and the Z value at the front. 47 (56) (56) ^S^Hdistns(Pa,Pb) • S6 knee width (8) also Knee Breadth)

(57) (58) 1315042 ^P〇,e {Pa,PJ^)^(P6), = 〇),P〇eQs/,p4e^} ,勘滅_立’在财的冑度#轉 2,膝蓋部位最突出點之侧面水平寬距。 ·^十見距。(57) (58) 1315042 ^P〇,e {Pa,PJ^)^(P6), = 〇), P〇eQs/,p4e^}, 灭灭_立' in the wealth of the degree #转2, The horizontal width of the side of the most prominent point on the knee. · ^ Ten see distance.

Oppose |ρ0,Ρ6μ(Ρ0)^Λ(Ρ,), 2(PJ = z(PJ = £i^kl±f(5H) 0 . 1 2 ,弋 s£VP6eft!6 ^S6=Hdistn(Pa,Pb) S7 中腿寬(Side Mid Thigh Breadth) L人體挺直的侧向站立、沒有肌肉緊繃時,胯 點高度,大麟_水平寬距。 2.胯下點至侧面膝寬間高度中點的水平寬距。 3·相對於正面中腿寬F⑽同Z值高度的兩輪廓點,計算其水 *re 4/X/U z(/&gt;a) = z(/&gt;4) = z(f肌),/&gt;〇 e ,尸eOppose |ρ0,Ρ6μ(Ρ0)^Λ(Ρ,), 2(PJ = z(PJ = £i^kl±f(5H) 0 . 1 2 ,弋s£VP6eft!6 ^S6=Hdistn(Pa, Pb) S7 Mid Mid Thigh Breadth L The body stands straight and stands sideways, when there is no muscle tension, the height of the squat point, the big _ _ horizontal wide distance 2. The height from the squat point to the side knee width The horizontal width of the point. 3. Calculate the water *re 4/X/U z(/&gt;a) = z(/&gt;4) = relative to the two contour points of the leg width F(10) and the Z value height in the front face. z(f muscle), /> 〇e, corpse e

Ss 最小腿寬(Side Min Calf Breadtfi) 1. 人體挺直的侧向站立時、雙腳併攏,體重均勻的分佈在兩 腿之間時’小腿(腔骨上緣以下)輪廓的最小水平距離。 2. 膝寬到輪廓最低點間的最小水平寬距。 3. 在腿寬S5到腳跟S2.0的Z值高度間’求輪廓最小水平距離。Ss Min Calf Breadtfi 1. The minimum horizontal distance between the contours of the lower leg (below the upper edge of the cavity) when the body is standing upright and the feet are close together and the weight is evenly distributed between the legs. 2. The minimum horizontal width between the knee width and the lowest point of the contour. 3. Find the minimum horizontal distance between the leg width S5 and the Z value of the heel S2.0.

Suppose acalf = {Pi j Pi e nsf,z(S2〇) &lt; Ζ{Ρ{) &lt; z(S5)} sg = Min{Hdist{acaff)) 48 (59) l3l5〇42 S9 小腿寬(Side Calf Breadth) 1. 人體挺直的侧向站立時、兩腳併攏,體重均勻的分 腿之間時,小腿(脛骨上緣以下)輪_最大水平距^兩 2. 介於膝寬與最小腿寬間輪廓的最大水平距離。 3. 在膝寬S6到腳跟Ss的Z值高度間輪廓的最大水平寬距。 ^pp〇Se = {P. IP. € Qsf,z(Ss) &lt; Z(P.) &lt; z(56)} (60) 春 s 10 臀高(Side Hip Height) L人體挺直的側向站立時,側面臀寬的水平線到腳跟的垂直 趣離。 2. 從側面水平臀寬位置到腳跟之垂直高度差。 3. 計算臀寬S4高度到腳跟點s20之z值差距。 丨。=紙)-紙。) (61) • S 〗1 大腿長(side Thigh Length ) ^人體侧向站立時,介於胯下點到膝寬高度之間的垂直距離。 2·從胯下點到膝寬之垂直高度差。 3.胯下點F5.G到膝寬S6之Z值差距。 • Γ,5。)—紙) ⑻ I2 跨腰距(Side Body Rise ) 1人體側向’側面腰寬水平高度到胯下點的垂直距離。 ,由侧面腰寬高度到胯下點之垂直高度差。 3, 腰寬&amp;高度到胯下點f5〇之z 。 • Γ 奶。) (63) 足長(FootLength) L從聊尖至腳跟的水平距離。 2. 最大腳掌長。 3. 在最小腿寬&amp;高度以下,求和腳跟點S2.0的最大水平寬 49 (64) 1315042 距。Suppose acalf = {Pi j Pi e nsf,z(S2〇) &lt; Ζ{Ρ{) &lt; z(S5)} sg = Min{Hdist{acaff)) 48 (59) l3l5〇42 S9 calf width (Side Calf Breadth) 1. When the body is standing straight and standing sideways, the feet are close together, when the weight is even between the legs, the calf (below the upper edge of the humerus) wheel _ maximum horizontal distance ^ two 2. Between the knee width and the minimum leg The maximum horizontal distance of the wide outline. 3. The maximum horizontal width of the contour between the knee width S6 and the Z value of the heel Ss. ^pp〇Se = {P. IP. € Qsf,z(Ss) &lt; Z(P.) &lt; z(56)} (60) Spring s 10 Hip Hip (L) High straight side of the human body When standing, the horizontal line of the side hip width is perpendicular to the heel of the heel. 2. From the horizontal hip width position to the vertical height difference of the heel. 3. Calculate the z-value difference between the hip width S4 height and the heel point s20. Hey. = paper) - paper. (61) • S 〗 1 side Thigh Length ^ The vertical distance between the height of the knee and the width of the knee when the human body is standing sideways. 2. The vertical height difference from the kneeling point to the knee width. 3. The difference in the Z value between the point F5.G and the knee width S6. • Hey, 5. )—Paper) (8) I2 Cross Body Rise 1 The horizontal distance from the lateral height of the lateral side of the human body to the height of the underarm. From the height of the side waist to the vertical height difference of the underarm. 3, waist width &amp; height to the point of the kneeling point f5 〇 z. • Γ milk. (63) FootLength L The horizontal distance from the tip of the talk to the heel. 2. The maximum length of the foot is long. 3. Under the minimum leg width &amp; height, sum the heel point S2.0 to the maximum horizontal width of 49 (64) 1315042.

Suppose Ω/οοί = {Pt I e Ω,,Ζπώι (Qs) &lt; z(Pi) K 2(5g)} S9 =Max{Hdist(Q.f00t)) • 侧面胸寬(Chest Depth) 1. 從侧面量測得之胸部厚度。 2. 腋下點高度處之側面胸厚。 3. 在左右腋下點F2.0L、F2.0R的平均高度處 後半身曲線間的水平距離。Suppose Ω/οοί = {Pt I e Ω,, Ζπώι (Qs) &lt; z(Pi) K 2(5g)} S9 =Max{Hdist(Q.f00t)) • Chest Depth 1. From The thickness of the chest measured from the side. 2. The side of the knee is at the height of the chest. 3. At the average height of F2.0L and F2.0R at the left and right points, the horizontal distance between the curves of the lower body.

S“=Hdist(Pa,Pb) 為说卜 2 〜bwb)=z(Pb) (65) 本實施例即湘人體相輪廓*求得二維特徵 據二維特徵資訊,進行三維人體模型之重構,故 i P根 尋樣板模型在XY平面雙向極值的方法與必要性j =區域分別說明變形的步驟。同時針對S"=Hdist(Pa,Pb) is said to be 2~bwb)=z(Pb) (65) In this embodiment, the contour of the human body phase is obtained, and the two-dimensional feature is obtained according to the two-dimensional feature information, and the weight of the three-dimensional human body model is performed. Therefore, the method and necessity of the i P root template model in the XY plane bidirectional extremum and the necessity j = region respectively explain the step of deformation.

求側面輪廓前 重;些資訊不足的部份= 依據========徵為 對的幾何資訊。雜部份的輪廓曲S ===相 ^其正咖面的極值,讓這些極讎移到與輪廓相= 50 1315042 如第十四圖所示’定義人體橫切面為χγ平面,由於站姿以Find the front profile before the weight; some of the information is insufficient = according to ======== is the geometric information of the pair. The outline of the miscellaneous part is S === the extreme value of the phase of the coffee, so that these poles are moved to the contour phase = 50 1315042 as shown in the fourteenth figure 'Defining the human cross section as the χ γ plane, due to the station Pose

® t &amp;搜雜減型上每―®的χ向與 4 ^ I射得到四個點,設定這些點做為三維人體變形的已 人體近似左右對稱,故在賴與胯下圍上下區域,針 f圍异雜樣板模型結構點的形心,求ρ相對於形心在γ方 二:水,等距離點ρ如第十五圖所示,以相同的方法計算Α相對 =形心在Y方向的等距離點?3•’這兩點亦加人做為已知點。此 人體在胸圍以上到肩膀之間的區域較為平坦,樣板模型上些 ,的雜點都會使X向極值歧不合獅情況,所峨定這個區&amp; =向極值在人體前中心線的位置。在樣板模型上躺幹的x向 ,巧極_分_如第十六圖㈣黑線,其中在顧以下會受 較腹部突出的影響,所以細在x向極值會出現兩點的現 。这些二維已知點在三維人體變形的時候,將移到 線上相對的位置。 接著,對於在同一圍非極值的其他點移動量J的處理,是利 用已知點的移動量代入公式⑵料來求得。但是在人體不同的 區域,已知的移動量{並不一定是由極值的移動量得到,故在以 下說明令將依區域求取的先後順序來分別說明如何求得該區域 的已知點移動量。® t &amp; search and subtraction on each of the "® direction" and 4 ^ I shot to get four points, set these points as the three-dimensional body deformation of the human body is approximately symmetrical, so in the upper and lower areas of the Lai and 胯The shape of the point of the structural point of the needle-fence heterogeneous model is obtained. The ρ is relative to the centroid in the γ square: water, the equidistant point ρ is as shown in the fifteenth figure, and the same method is used to calculate the relative value = centroid in Y The equidistant point of the direction? 3•' These two points are also added as known points. This area of the human body is flatter from the chest to the shoulder. The pattern on the model will make the X-direction extremely different from the lion. It is determined that this area is in the front center line of the human body. position. The x-direction of lying on the model model, the _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ These two-dimensional known points will move to the opposite position on the line when the three-dimensional body is deformed. Next, the processing for moving the amount J at other points having the same non-extreme value is obtained by substituting the amount of movement of the known point into the formula (2). However, in different areas of the human body, the known amount of movement {is not necessarily obtained by the amount of movement of the extreme value, so in the following description, the order of the regions will be used to explain how to find the known points of the region. The amount of movement.

一、腋下圍到臀圍區域: 人體在腋下圍到臀圍間的幾何變化相對於其他區域較不易 ,,面或正面輪廓的凹凸遮蔽問題,所以在已知點的搜尋上較為 簡單】只要搜尋每一圍的極值找出已知點四點,再判斷若x的極 值未落在t心線附近’則增加與形心在γ方向等距離的兩個點為 已知點。由於相機以透視投影取像,加上影像處理產生輪廓過程 的誤^,使得搜尋的輪廓影像在腋下點位置偏低,如第十七圖所 示,這將造成3D變形結果在腋下圍處往下沉降使得胸圍幾乎與 乳下園靠在一起產生扭曲的現象’如第十八圖所示。 51 1315042 像,下點過低賴題,本㈣參考在掃触交投影影 臂根圍在的手臂截面長度績 十面仅〜長度Z維持一特疋比例I&quot; : 1 ,例如换音合 腋i = H佳,此調整相片上腋下點的位置,使較接近實際 其解決方法係根據前述的定義,求得相片輪靡影 像上的肩點與腋下點,如第二十圖中(a)小圖所示, 下點在輪雜素辭臂關取1/n身高像素量,每—像素盘^下 多筆向量取平均得到L。再從肩點開始沿手臂外侧 點:腋?:點形成的向量與^作内積運算,取内積為0的 十圖中⑼小圖所示),與距肩點(1竹)L處, 因此改善的結果如第二十一圖所示。 二、臀圍到胯下圍區域: 绩每Ϊ人^幾何形狀不見得相同,所以某人相片輪廓曲 線(如第一十二圖中(a)小圖所示)與樣板模型(如第二十二圖中 (b)小圖所示)在臀_胯下關A赚部的長度不—定會相等, 如果直接令樣板模型上的X極值移動到與輪廓曲線相對的位 置’則即使3D侧視圖的輪廓曲線同於原相片輪廊,但為配 長的大腿根部造成三維資訊扭曲,會使得下腹部發生如第二十二 圖中⑷小圖所示的不合理變形結果。解決的做法是先建·貝^ 面腹,輪廟^下的延伸曲線以及大腿根部朝上的延伸曲線如第 三===虛線,於是在下腹部與大腿根部就可分別套用虛 兩段延伸線的做法是從已知的輪廓線分別擬合出兩條二次 曲線做為腿根部輿下腹部的延伸線,舉例說明之。首先在 廓介於腰^與胯下圍之間的前半身曲線利用最大彎曲值方法找 到點(如第一十二圖所示)。同樣地,介於^與腰圍間利用最大 52 1315042 彎曲值方法搜尋得到户2,户3則為6與/&gt;2的中點,藉由66g可 擬合出一次曲線{,其延伸線的長度則從乃向下延伸到側面脖下 點高度。曲線r則是從乃、豸、乃,三點擬合出二次曲線向上延伸, 其中乃為胯下點南度在前半身曲線上的點,乃’則為$與乃,的中 點,並設定腿根部向上延伸後的曲線總長度為m倍的, ^^值 以1.3為佳,此值是本發明試驗多種不同長度所取得一^觀視上 較佳的結果。求得之兩延伸線可將其視為輪廓曲線的一部分,令 樣板模型上極值的點分別移動到與之相對的位置,雖然無法完^ 但是結果已較為合理,展示於第二十四圖所示。 、First, the armpit circumference to the hip area: The geometrical change of the human body between the underarm and the hip circumference is relatively difficult compared with other areas, and the unevenness of the surface or front contour is obscured, so it is relatively simple to search for known points. As long as the extreme value of each circumference is searched for four points of the known point, and then it is judged that if the extreme value of x does not fall near the t-heart line, then two points which are equidistant from the centroid in the γ direction are added as known points. Since the camera takes a perspective projection and adds image processing to generate a contour error, the searched contour image is at a low position at the squat point. As shown in Figure 17, this will result in a 3D deformation result. The settlement is so that the chest circumference is almost close to the under-milk garden to produce a distortion phenomenon, as shown in Figure 18. 51 1315042 Like, the next point is too low, this (four) reference in the cross-section of the arm of the projection of the arm of the cross-section of the length of the arm section only ten ~ length Z maintain a special ratio I &quot; : 1 , such as the combination of sound i = H is good, this adjusts the position of the point on the photo, so that the solution is closer to the actual one. According to the above definition, the shoulder point and the underarm point on the image of the photo rim are obtained, as in the twentieth figure ( a) As shown in the small figure, the lower point is taken in the wheel of the multiplexer, and the number of pixels is 1/n, and the number of vectors per pixel plate is averaged to obtain L. Then start from the shoulder point along the outer side of the arm: 腋?: The vector formed by the point and the inner product of the ^, take the inner product of 0 in the ten-figure (9) small picture), and the shoulder point (1 bamboo) L, so The results of the improvement are shown in Figure 21. Second, the hip circumference to the underarm area: the performance of each person ^ geometry is not the same, so someone's photo contour curve (as shown in Figure 12 (a) small picture) and the model model (such as the second In the twelfth (b) small figure, the length of the earning part of the hip _ 胯 不 不 不 不 不 不 不 不 不 , , , , , , , , 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度 长度The 3D side view has the same contour curve as the original photo gallery, but causes three-dimensional information distortion for the long thigh root, which causes the lower abdomen to produce unreasonable deformation results as shown in the small image in Figure 22. The solution is to first build · Bay ^ face belly, the extension curve of the round temple ^ and the extension curve of the thigh root upwards as the third === dashed line, so the virtual two extension lines can be applied in the lower abdomen and the thigh root respectively. The practice is to fit two quadratic curves from the known contour lines as an extension line of the lower abdomen of the leg root, for example. First, find the point using the maximum bending value method in the curve of the front half between the waist and the lower circumference (as shown in Figure 12). Similarly, between the ^ and the waist circumference, the maximum value of 52 1315042 is used to search for the household 2, and the household 3 is the middle point of 6 and /> 2, and the curve can be fitted by 66g, and the extension line is The length extends from the downward to the height of the lower neck. The curve r is from the middle, the 豸, the ,, the three points fitting the quadratic curve upward, which is the point of the south point of the squat point on the curve of the front half, which is the midpoint of the sum of $ and And the total length of the curve after the root of the leg is extended upward is m times, and the value of ^^ is preferably 1.3, which is a better result obtained by testing various lengths of the invention. The two extension lines can be regarded as part of the contour curve, and the extreme points on the model model are respectively moved to the opposite positions. Although it cannot be completed, the result is more reasonable, and it is shown in the twenty-fourth figure. Shown. ,

三、肩端圍到腋下圍區域: 在肩端圍與腋下圍區域若要得知任意點^的變形量j ίί22巾的已知點移動量纟必須包含前後中心線的移動量以及前 ^半段臂根_移動量(如第二十五圖所示),由种心線在 藉由側面輪靡得知,因此主要的問題則是如何 ί ^取得臂根_資訊,本發0繼的解決方案Third, the shoulder end is surrounded by the underarm area: In the shoulder circumference and the underarm area, if you want to know the deformation amount of any point ^, the known movement amount of the towel 纟 must contain the movement amount of the front and rear center lines and the front ^Half-arm root _ movement amount (as shown in Figure 25), the seed line is known by the side rim, so the main problem is how to get the arm root _ information, the hair 0 Following solution

I ^ 為變形心: 圖㉗彳=位;圍::也= ΐ;;來=板模^ 四、頸圍到肩端圍區域: 53 1315042 要先得到輪廓影像上頸圍的區域,才能將樣板模型上頸圍的 X向與Y *向極值移到輪摩線上相對的位置,故而在側面輪廓上, =最大f曲值方法(以κ值為3.5為佳)求得在腋下圍以上的 區域找到下前_與上前賴雜置,如第二十八_示 頸點的搜尋則先計算下前頸^丨上前頸點輪廟鱗上的每一點户 與下洳頭點形成的平均向量v^edt,如第二十九圖所示。· · uPP^r_ front _neck _pomt imeck—巧。·,— ^ Num{Pi) (66)I ^ is the deformation heart: Figure 27彳=bit; circumference::also = ΐ;;来=板模^ Fourth, neck circumference to shoulder circumference area: 53 1315042 To get the contour of the neck area of the image, you can On the model model, the X and Y * directions of the neck circumference are moved to the opposite positions on the wheel line. Therefore, on the side profile, the method of the maximum f-curve value (with a κ value of 3.5 is preferred) is obtained. The above area finds the next _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ The resulting average vector v^edt is shown in Figure 29. · uPP^r_ front _neck _pomt imeck—Qiao. ·,— ^ Num{Pi) (66)

則下後賴與·職的向量滿足條件Then the vector of the next and the job meets the conditions

I II I

Vfl4eck ' VLowerNeck = 〇 ( 67 ) g後頸點則從上前頸點平行於與後半身輪廊曲線相交 下太輪廊圖同樣的要找出頸圍的範圍’其中下右側頸點與 下左側麵可娜前述的定義首絲得,至於上右 ’、 廓圖上並沒有明顯的特徵,故利用侧面輪^上Vfl4eck ' VLowerNeck = 〇 ( 67 ) g The back neck point is the same as the angle of the neck circumference from the upper front neck point parallel to the curve of the rear half body corridor. The lower right neck point and the lower left side Faced by the above definition of the first silk, as for the upper right ', the outline has no obvious features, so use the side wheel ^

ΐιϋϋ法從正彡雜靡制纟部份τ姻、肩 戶] 的位置’定為這個區域的已知點移動7二二屑端圍 東得該吃W —田,—:點移動置,如此便可精由公式 ίϊ點^正面輪細上相對應的ϊ度十圖 線與部份肩端圍形成的角7^豕二,付到甶,邵份下§-使用公式— 已求得變形後的下賴、肩線 肩 &amp;搜 耑圍 求得該區域内任-點的移動量 = 公式⑵ 示檨招掇刑卜沾ία白以㈤^弟二十一圖所不’圖中虛線表 54 1315042 此可以得到樣板模型在該區域内任意點;7的移動量i。 本發明於研究過程中即曾以四位女性模特兒為例加以實作 驗證’分別編號為001、002、003、004,其中00卜002、004ΐ ϋϋ ϋϋ 从 从 从 从 从 τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ τ It can be refined by the formula ϊ ^ ^ 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面 正面After the squat, shoulder line shoulder &amp; search 耑 求 求 求 求 求 任 = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = Table 54 1315042 This gives the sample model any point in the area; the amount of movement i of 7. In the course of the research, the present invention has been verified by taking four female models as examples. The numbers are 001, 002, 003, and 004, respectively, of which 00 002, 004

屬青壯年齡,003則為中年年紀。實作驗證過程首先取得四位女 性的正面與側面相片,並骑別取得其人體掃描機後結構化數位 人體,編號同樣編為〇〇卜〇〇2、〇〇3、〇〇4,樣板人體模型則可能 ,這四個數位人體之一。若根據〇〇1為樣版模型,從另三人的輪 邪衫像變形得到的三維數位人體模型則分別以〇〇2@〇〇1、 003@001、〇〇4@〇01表示。依據前述的研究步驟分別使用、 〇〇3與004的輪廓曲線上已知特徵長來使〇〇1樣板模型變形, 形的結果依序展示於第三十三關第三十八圖所示,該等圖中除 了同時展示樣板模型、輪磨曲線以及變形結果提供比較之外, 以四個不同的觀視角展示變形後的結果,其中第三十三圖與第三 士四圖為0〇2的變形結果(稱實作驗證例一)’第三十五圖、和~ 二圖則為〇〇3的變形結果(稱實作驗證例二),第三十七圖 和第三十八圖則是004的變形結果(稱實作驗證例三It is young and old, and 003 is middle-aged. In the implementation verification process, the front and side photos of four women were first obtained, and the human body was digitized after riding the body scanner. The number was also compiled as 〇〇 〇〇 2, 〇〇 3, 〇〇 4, and the model body. The model is possible, one of these four digital bodies. According to 〇〇1 as the model model, the three-dimensional digital human body model obtained from the deformation of the other three people's wheel sculpt is represented by 〇〇2@〇〇1, 003@001, 〇〇4@〇01, respectively. According to the foregoing research steps, the known feature lengths on the contour curves of 〇〇3 and 004 are respectively used to deform the 〇〇1 model, and the results of the shapes are sequentially displayed in the thirty-third figure of the thirty-third. In addition to the comparison of the model model, the wheel grinding curve and the deformation results, the figures show the results of the deformation in four different viewing angles, of which the thirty-third figure and the third-fourth figure are 0〇2. The deformation result (referred to as the verification example 1) 'Thirty-fifth map, and ~ two maps are the deformation results of 〇〇3 (referred to as verification example 2), the thirty-seventh and thirty-eighth Is the result of the deformation of 004 (referred to as the verification example three)

因為本發明由相片影像輪廓上利用各特徵點、特徵高、特微 寬等二維舰之界定及解練紅推導而能重建三維人體 位模型,如第三十九騎示即為重建之三維人體數位模型 =而針對二維數位人體翻上若干糾、外包彳植目或區段之長 又若可進一步計測出,則在例如全國人民人體計測數 ,,或是例如製作衣服等應用工程上將可更為方便。除外,^ 許多可以應用之產業或範疇實不勝枚舉,試舉例如下: 1. 個人化塑身整型内衣的開發應帛—不只是躺幹部份 物理整型,包含手臂、大腿均可納人整魏嘴,此種塑身 衣係極為個人化之商品’故僅憑兩張相片即可製作合之 衣’將可令使用者感到極為方便。 Α 2. 燒燙傷壓力衣的設計與製作—可提供燒燙傷患者量身 55 1315042 訂做壓力衣、壓力手套、Μ力面罩(鱗物品更是個人化)等的 設計,並方便進行打版開發與輸出製作。 3·進行全國人民人體計測一可以減輕人們進入掃描機空 間内時對於身體的隱私權與安全感遭侵犯的顧慮,只要同意穿著 ,衣(或緊身衣)拍兩張相&gt;{’即可獲得高度可靠的計測數據 極方便。尤其對於偏遠地區國民人體計測,或是不便出門者 以就近在家執行,更係便民。 ,,助國人人體體型銀行資料庫的擴充及隨時更新工作。 國J提f國内纺織業者或製造業者人體尺寸,用以設計開發 ,诸如制服、學生課桌椅、辦公桌椅、傢俱、居家用品、 父通工具、國防武器、運動健身 口 築設計、服裝設計等等皆可應用到材心用⑽防遵裝備、建 最:進一步推導出㈣學方程式 ,以計測人體Because the present invention can reconstruct a three-dimensional body position model by using the definition of a two-dimensional ship such as various feature points, feature heights, and ultra-wide widths, and deriving reds, which can be reconstructed by the thirty-nine-theater. The human body digital model = and for the two-dimensional digital body to turn up a number of corrections, outsourcing, or the length of the segment can be further measured, for example, in the national people's body measurement number, or for example, the application of clothes, etc. It will be more convenient. Except, ^ Many industries or categories that can be applied are countless. The examples are as follows: 1. The development of personalized body shaping underwear should be 帛--not just lying on some physical integers, including arms and thighs. Weizui, this type of corset is a very personal product, so it is very convenient for users to make a uniform with only two photos. Α 2. Design and production of burnt and scalded pressure garments - can provide calorie-contained patients with a body size of 55 1315042 Custom-made pressure garments, pressure gloves, sturdy masks (scale items are more personalized), etc., and facilitate the development of pattern development Made with output. 3. Conducting national human body measurement 1 can alleviate the concern that the privacy and security of the body are violated when people enter the scanner space. As long as they agree to wear, the clothes (or tights) can take two phases&gt;{' It is extremely convenient to obtain highly reliable measurement data. Especially for the measurement of national human body in remote areas, or for those who are not allowed to go out to perform at home, it is more convenient. , the expansion of the human body bank database and the update of the work. The size of the domestic textile industry or manufacturer is used for design and development, such as uniforms, student desks and chairs, office furniture, furniture, household items, father tools, defense weapons, sports and fitness design, clothing Design and so on can be applied to the material core (10) anti-compliance equipment, build the most: further derivation (four) study equation to measure the human body

(0-八(叫+1 )/2)|♦⑹-增外! )/2)ί) 最小外包三維特徵長 的點'(===)區段的裕度’ W表特徵圍上各小區段上 特徵圍,惟:ί:以二:二上 測地量的若干 j皮尺量所展現的差徵 量上之結迦,尺0^2 ’其幅狀排列為測地 相同),而㈦傾為(町各傾表示法皆 口巧腰園之比較《’⑷州為賴之比較圖, 56 1315042 ⑷小圖為小肩線之比較圖,舉此四 蚊特㈣,料可糊社縣 综所述’本發明具傷如下效果及功效: 1·定義輪廓影像上人體特徵:夾老r ^針對輪廓影像上相對應的位置定義定義描 t在正面輪廓上至少定義了+個牲外上的描述方法,其 度侧面輪廊至少樹二個特徵點、 取與分辨自動化元成母個特徵的搜尋,而不需依賴手動的選 重槿屮二二维測結果.由於本發明利用二張相片即可 求r出:ΓΪΪ人體模型’再更經由所推導的數學絲式進一步 得^^f最抖包特徵長,使三維人體計測結果輕易可獲 造於化人體計測,以利於很多產業上應用,使產業的製 w精準度提升,以及個人化商品之方便完成。 明最大之貢獻在於糊二維特徵重構出三維複雜 ',且近似度頗為擬真,並且進一步可完成三維人體 ’相對於3D人體掃瞒機的取得*易,以及皮尺量身耗 ,且誤差大的缺點,本發明可以較快速且方便的處理三維 57(0-eight (called +1)/2)|♦(6)-Zengwai!)/2) ί) Minimum outsourcing 3D feature long point '(===) section margin' W table features each The feature area on the small section, except: ί: the number of the difference in the amount of j-strips measured by two: two measurements on the amount of the knot, the ruler 0^2 'the width of the ground is the same), and (7) For the comparison of the styles of the towns and villages, the comparison of the magazines is based on the comparison of the maps of the state of the country. 56 1315042 (4) The small map is a comparison map of the small shoulder line, and the four mosquitoes (four) are recommended. The invention has the following effects and effects: 1. Defining the contour image on the human body: the old r ^ is defined for the corresponding position on the contour image. The description t defines at least + the description on the front contour. The method has at least two feature points on the side porch, and searches for and distinguishes the features of the automatic element into a parent, without relying on manual selection of two-dimensional measurement results. Since the present invention utilizes two photos, Can be r out: ΓΪΪ human body model 'more through the derived mathematical silk type to further ^ ^ f most shaken packet feature length, so that three-dimensional human body measurement knot It can be easily obtained for human body measurement, which is beneficial to many industrial applications, so that the accuracy of the industry can be improved, and the convenience of personalized products can be completed. The biggest contribution of Ming is that the two-dimensional features of the paste are reconstructed into three-dimensional complexes, and The approximation is quite immersive, and further can complete the three-dimensional human body's acquisition of the 3D human body broom, and the disadvantage of the tape measure and large error, the invention can process the three-dimensional 57 quickly and conveniently.

1315042 ☆體重建與計測’對於全民計測計晝、人因 二j :因本發明深== 專利成立之;i諸見=知,故完全合於發明 【圖式簡單說明】 第一圖所示係本發明實施例總流程圖 ,二圖所示係本發明實施例中_背景步驟之示 =二,所示係本發明實施例中背景去除步驟之示= 示明實施例中搜尋輪縣像步驟之=圖 Ξίί實施例中輪廊像素點進行八相鄰排序法 第七圖所示係本發明實施例中彎曲值示意圖 第八圖^示發明實施例中移動前後的原始形狀與目標形 狀不葱圖 第九圖係本發施例性意點P與已知關距離示意 圖 ,十圖所示係本發明實施例中已知點示意圖 第十一圖所示係本發明實施例中三維人體變 第十二Γ示係本發明實施例中人體正==== 意圖 第十三圖所示係本發明實施财人體_輪廓特徵項目示 意圖 第十四圖所示係本發明實施例中人體當圍已知點示意圖 第十五圖所示係本發明實施例中加入已知點之示音g 第十六圖所示係本發明實施例中樣板模型上二極值分 佈示意圖 ' 58 1315042 第十七®所7F係本發明實施例中輪扉影像之腋下點較實際 位置偏低之示意圖 第十八圖7F係本發明實關巾輪廓影像之胸圍被壓低之 示意圖 第十九圖所示係本發明實施例參考掃描正交投影影像之示 意圖 第一十圖所示係本發明實施例採黃金比例的方式重取輪廊 腋下點之示意圖1315042 ☆ Body reconstruction and measurement 'For the people's measurement plan, human factor two j: Because the invention is deep == The patent is established; i see you = know, so it is completely invented [simplified description of the figure] The general flow chart of the embodiment of the present invention, the second figure is shown in the embodiment of the present invention. The background step is shown in the second embodiment of the present invention. The background removal step is shown in the embodiment of the present invention. In the embodiment, the eight-adjacent sorting method is performed on the pixel points of the corridor. The seventh figure is the schematic diagram of the bending value in the embodiment of the present invention. The eighth figure in the embodiment of the invention shows the original shape and the target shape before and after the movement. FIG. 9 is a schematic diagram showing the relationship between the present embodiment and the known distance. The tenth figure is a schematic diagram of the known points in the embodiment of the present invention. FIG. 11 is a three-dimensional human body change in the embodiment of the present invention. The human body in the embodiment of the present invention is positive ====. The thirteenth figure is shown in the figure of the present invention. The fourth embodiment of the present invention is shown in the fourteenth embodiment of the present invention. The fifteenth figure of the schematic diagram shows the hair In the embodiment, the sound of the known point is added. FIG. 16 is a schematic diagram showing the distribution of the two-pole value on the model model in the embodiment of the present invention. 58 1315042. The seventeenth item is the image of the rim image in the embodiment of the present invention. FIG. 18F is a schematic view showing the chest circumference of the contour image of the actual closure of the present invention being depressed. FIG. 19 is a schematic diagram showing the first embodiment of the present invention. Figure 10 is a schematic diagram of the method of retrieving the lower point of the wheel gallery in the manner of adopting the golden ratio in the embodiment of the present invention.

It十二圖所示係本發明實施例中胸圍改善示意圖 一十一圖所示係本發明實施例中跨下圍以上大腿根部的 問題示意圖 第二十三圖所示係本發明實施例中大腿根部擬合輪廓延伸 線說明示意圖 第二十四圖所示係本發明實施例中跨下圍以上大腿根部改 善示意圖 第二十五圖所係本發明實施例中肩端圍與腋下圍區域變形 示意圖 第二十六圖所示係本發明實施例於影像中無法得知臂根圍 輪廓之示意圖 =二十七圖所示係本發明實施例中臂根圍上已知點示意圖 弟一十八圖所示係本發明實施例中以最大彎曲值搜尋上前 ^ 頌點與下前頸點之示意圖 第二十九圖所示係本發明實施例中搜尋下後頸點與上後頸 點之示意圖 第二十圖所示係本發明實施例中搜尋上右侧頸點與上左側 頊點之示意圖 第二十一圖所示係本發明實施例中肩端圍到頸圍區域示 圖 、 59 1315042 第三十二圖所示係本發明實施例中肩端圍到頸圍區域的變 形方法示意圖 第三十三圖所示係本發明實施例實作驗證例一的變形結果 不意圖 第三十四圖所示係本發明實施例實作驗證例一的變形結果 不同觀視角度示意圖 第三十五圖所示係本發明實施例實作驗證例二的變形結果 不意圖 第三十六圖所示係本發明實施例實作驗證例二的變形結果 不同觀視角度示意圖 • 第三十七圖所示係本發明實施例實作驗證例三的變形結果 不意圖 第三十八圖所示係本發明實施例實作驗證例三的變形結果 - 不同觀視角度示意圖 第三十九圖所示係本發明實施例重建三維數位人體模型之 示意圖 第四十圖所示係本發明實施例之三維數位人體模型結構點 近似連線區段不意圖 第四十一圖所示係本發明實施例之三維數位人體模型上測 Φ 地量與皮尺量所展現之差異性示意圖 【主要元件符號說明】 附件:參考文獻明細彙整一份FIG. 12 is a schematic view showing the improvement of the chest circumference in the embodiment of the present invention. FIG. 11 is a schematic view showing the problem of the thigh root across the lower circumference of the embodiment of the present invention. FIG. 23 is a thigh in the embodiment of the present invention. Root Fitting Outline Extension Line Description FIG. 24 is a schematic view showing the improvement of the thigh root portion of the embodiment of the present invention in the embodiment of the present invention. FIG. FIG. 26 is a schematic view showing the outline of the arm root in the image in the embodiment of the present invention. FIG. 27 is a schematic view showing the known point on the arm root circumference in the embodiment of the present invention. The figure shows a schematic diagram of searching for the upper front point and the lower front neck point with the maximum bending value in the embodiment of the present invention. The twenty-ninth figure showing the lower back neck point and the upper back neck point in the embodiment of the present invention. FIG. 20 is a schematic view showing the upper right neck point and the upper left side point in the embodiment of the present invention. FIG. 21 is a view showing the shoulder end to the neck circumference area in the embodiment of the present invention, 59 1315042 The thirty-second map Illustrated in the embodiment of the present invention, a method for deforming the shoulder end to the neck region is shown in the thirty-third embodiment. The deformation result of the embodiment 1 of the present invention is not intended to be the invention shown in the thirty-fourth embodiment. The embodiment shows the result of the modification of the first example. The thirty-fifth figure shows the result of the modification of the second embodiment of the present invention. The deformation result of the verification example 2 is different from the perspective view. The thirty-seventh embodiment shows the modification result of the third embodiment of the present invention. The result of the deformation of the third embodiment is a schematic diagram of the three-dimensional digital human body model according to the embodiment of the present invention. The fortieth figure shows the structure of the three-dimensional digital human body model of the embodiment of the present invention. The line segment is not intended to be a schematic diagram showing the difference between the amount of Φ and the amount of tape measured on the three-dimensional digital human body model of the embodiment of the present invention. Annex: References a detailed aggregated

Claims (1)

1315042 、申請專利範園: ^ 法’&amp;要係經過如下 由電腦讀取’ 像:,從得的人體正片及侧面照片經 動處理,經過::將前述取得的影像手 維特徵=、麵、特徵寬之二1315042, apply for a patent garden: ^ The law '&amp; must be read by a computer as follows: '::, from the body of the positive and side photos of the motion processing, after:: the above-mentioned image of the hand-dimensional features =, surface Feature width two 板模ί 姆贿以調整樣 建扁田人體的二維數位人體模型;這其中,特微;^ 一 ^特徵資^得特徵點、特徵高及特徵寬之計測項目i其為 ;維特徵纽,該等計_目之界定㈣及求取之轉方程式如 一、正面求取的投影量: (一)Fu)頭頂點(HeadPoint”人體輪廊上,z值最大之點, 同Z值不只一點時,取所有點之平均值為頭頂點;· FlA 6Ω/5^ι.〇 = {Pi(y,z)\\fi, Z = (Ω7)}The model of the model is to adjust the two-dimensional digital human body model of the human body in the flat field; among them, the special feature; The definition of the calculations (4) and the equations for the calculations are as follows: the projection amount obtained by the front: (1) Fu) The head vertex (HeadPoint) on the human body corridor, the point of the largest z value, the same Z value is not only a little When taking the average of all points as the head apex; · FlA 6Ω/5^ι.〇= {Pi(y,z)\\fi, Z = (Ω7)} 步 他敦.〇) / /Num{Fxa) if Num(FXXi)^\ ,then y(F10) (二)Fi頭寬(HeadBreadth):在頭部兩耳以上,最大的水平 線距離,即從頭頂點南度往下,搜尋第一次水平寬度與下 一層變化率為負的位置,該寬度紀錄為頭寬; / = {Hdist(Pa,Pb)\Ρα €eΩ^,2(Ρα) = ζ(ρέ)} Ύ&gt;3/Μ~2/ί+/ί-1 &lt;〇 F^Max(z(f)) (二)1?2.01^2.011(左、右)腋下點(入111^红?〇如):左、右内臂 61 1315042 Suppose ^r!ght_shoulder = PilPj e Cijg, a &lt;i&lt;β, a &gt; index(F2SiR), z(a) = z(F20R),fi &gt; index(F2〇g),y(j3) = y(F20S) =&gt;F3.〇M == Max^BV (p.)) (六)F3肩寬(Shoulder Breadth):左右兩肩端點的直線距離, 即先計算出人體輪廓點上之左右兩肩點 F3.0LF3.GR,並求 取之間的直線距離; F,=dist(Fy〇L,FXOR) (七)F4胸寬(BustBreadth):左、右兩腋下點之間的直線距 離,即先計算出人體輪廓點上之左右兩腋下點F2.〇LF2.OR,Step hist. 〇) / /Num{Fxa) if Num(FXXi)^\ , then y(F10) (B) Head width (HeadBreadth): above the ear above the ear, the maximum horizontal line distance, that is, the apex of the head Down the south, search for the first horizontal width and the next layer of change rate is negative, the width is recorded as the head width; / = {Hdist(Pa, Pb)\Ρα €eΩ^, 2(Ρα) = ζ( Ρέ)} Ύ&gt;3/Μ~2/ ί+/ ί-1 &lt;〇F^Max(z(f)) (2) 1?2.01^2.011 (left and right) 腋下点(入111^红For example: Left and right inner arms 61 1315042 Suppose ^r!ght_shoulder = PilPj e Cijg, a &lt;i&lt;β, a &gt; index(F2SiR), z(a) = z(F20R),fi &gt; Index(F2〇g),y(j3) = y(F20S) =&gt;F3.〇M == Max^BV (p.)) (6) F3 Shoulder Breadth: End of the left and right shoulders Straight line distance, that is, first calculate the left and right shoulder points F3.0LF3.GR on the contour points of the human body, and find the straight line distance between them; F,=dist(Fy〇L, FXOR) (7) F4 chest width (BustBreadth ): The straight line distance between the left and right points of the lower jaw, that is, the left and right points of the human contour point F2.〇LF2.OR are calculated first. 並求取之間的直線距離; F4 =dist(Fi0L,F2_0K) (八)F^o胯下點(CrotchPoint):左、右兩腿内曲線最高的交 點’即求取人體左、右内腿曲線中Z值最大的點,由該 點朝-Z方向1/30身高範圍,尋求在該範圍的腿内曲線的 所有排序點的中間點作為胯下點; 定義左右腿内曲線為: 在點輪廓排序條件下,由右半身最低點至左半身最低點之間 的點群所構成的曲線;And find the straight line distance between; F4 = dist (Fi0L, F2_0K) (8) F ^ o 胯 lower point (CrotchPoint): the intersection of the highest curve in the left and right legs 'that is to obtain the left and right inner legs of the human body The point where the Z value is the largest in the curve, from the point to the 1/30 height range in the -Z direction, seek the middle point of all the sorting points of the curve in the leg of the range as the underarm point; define the curve in the left and right legs as: a curve consisting of a group of points between the lowest point of the right half of the body and the lowest point of the left half of the body under contour sorting conditions; Suppose Ω 、inside」egHne 一 Ω/? α&lt;ί&lt;β9 a = Min [index{z^n (Ω^)), index^ (Ω β))}, 户=施卜也Φ— (Ω&gt;)), iWexQ— (Ω 戽))} Pi \ Pi e Q〇iside_Iegnne,a &lt; i &lt; β, Suppose point =&lt;a&lt;mdex[ZmiX (QinsideJegline)),Hdist{a,zmilx (^insideJegli„e)) = Humar^eighl β &gt; indexiz^ {〇.insideJegline)),Hdist[β,^)) = Humat^eiSh&gt;Suppose Ω, inside"egHne Ω/? α&lt;ί&lt;β9 a = Min [index{z^n (Ω^)), index^ (Ω β))}, hu = shib Φ — (Ω&gt;) ), iWexQ—(Ω 戽))} Pi \ Pi e Q〇iside_Iegnne,a &lt; i &lt; β, Suppose point =&lt;a&lt;mdex[ZmiX (QinsideJegline)), Hdist{a,zmilx (^insideJegli„ e)) = Humar^eighl β &gt; indexiz^ {〇.insideJegline)), Hdist[β,^)) = Humat^eiSh&gt; =&gt;f5_0 63 1315042 (九)F5正面腰寬(H〇rjz〇ntai waist Breadth):介於腋下點和胯 下點高度中間’軀幹左右兩側最短的水平直線距離,即 由側面腰寬Si所在的Z值對應到正面輪廓之腰寬; p〇 &amp; ^jL,Pb eQ/R,z(Pe) = z(PA) = z(5I) Hin、Hdistaf{Pa,Pby) (十)&amp;自然腰寬(&gt;^加瓜1\\^513比&amp;(1也):介於腋下點和胯下 點咼度中間,躺幹左右兩侧最短的直線距離,即在腋下 點F2.olF2.or到跨下點F5.〇的Z值高度間,求取人體軀幹 左右兩側輪廓點間的最短距離; Suppose nnear waislline = {(i&gt; I p. e &gt; 2{^)&gt; z{F50))} =^6=Μ·(Ω_ 一)) (十一)F7臀寬(Hip Breadth ):介於水平腰寬以下,胯下點以 上,軀幹左右兩側最大的水平線距離,即由側面臀寬S4 所在的Z值對應到正面輪廓之臀寬; Suppose y{.Pa)^y{Pb), y(Pc) = y{Pcentroid), z(Ptt) = z(Pb) = z(Pc)^Z{S4) pa eQf F7 = Min(Hdistn/ (Pa ,PC)) + Min{Hdistaf (Pb,Pc)) (十二)F8l F8R (左、右)胯下腿寬(Thigh Breadth):脖下點到(左、 右)大腿左右兩邊外侧的水平線距離,即與胯下點F5.〇同 高之左右腿分別的水平寬距; Suppose Ω^_1φ„ι?ι, = I y(^·)* y{Fsa\ z(Pi) = s Ω^} =&gt;FSi ^MiniHdist^iF^PJ), Pa ^€lnear ieftthigh Suppose Ω„邮 rtg融igh = y(〇矣y(Fs。),ζ(β) = z(F5·。),/^=&gt;f5_0 63 1315042 (9) F5 front waist width (H〇rjz〇ntai waist Breadth): between the lower point of the armpit and the height of the underarm, the shortest horizontal straight line distance between the left and right sides of the torso, ie the lateral waist width The Z value of Si corresponds to the waist width of the front contour; p〇&amp; ^jL, Pb eQ/R, z(Pe) = z(PA) = z(5I) Hin, Hdistaf{Pa, Pby) (10) &amp; natural waist width (&gt;^ plus melon 1\\^513 ratio &amp; (1 also): between the underarm point and the underarm point, lying on the left and right sides of the shortest straight line distance, that is, in the 腋From the point F2.olF2.or to the height of the Z value across the lower point F5.〇, find the shortest distance between the contour points on the left and right sides of the human torso; Suppose nnear waislline = {(i&gt; I p. e &gt; 2{ ^)&gt; z{F50))} =^6=Μ·(Ω_一)) (11) F7 Hip Breadth: Below the horizontal waist width, above the kneeling point, the left and right sides of the trunk are the largest The horizontal line distance, that is, the Z value of the side hip width S4 corresponds to the hip width of the front contour; Suppose y{.Pa)^y{Pb), y(Pc) = y{Pcentroid), z(Ptt) = z (Pb) = z(Pc)^Z{S4) pa eQf F7 = Min(Hdistn/ (Pa ,PC)) + Min{Hdistaf (Pb,Pc)) ( b) F8l F8R (left and right) Thigh Breadth: The horizontal line distance from the lower side of the neck to the left and right sides of the thigh (left and right), that is, the level of the left and right legs of the same height as the lower point F5. Wide distance; Suppose Ω^_1φ„ι?ι, = I y(^·)* y{Fsa\ z(Pi) = s Ω^} =&gt;FSi ^MiniHdist^iF^PJ), Pa ^€lnear ieftthigh Suppose Ω „Mail rtg melt igh = y(〇矣y(Fs.), ζ(β) = z(F5·.), /^ F, ^\QL 1315042 )FlR=Min{Hdis、、F5Q,Pbyh 它 ^ near _ rightthigh (十三)Fsl FSR (左、右)低膝寬(Low Knee Breadth):兩腿膝蓋 部位最下方之水平間距,即由胯下點沿左、右腿内 側找尋1/8至3/8身南長度間且輪廓曲線開口分別朝 方向(求得Fpl)、朝-Y方向(求得FgR)之最大bv值, 分別求其左、右膝水平寬距; Suppose ={Pt fegffi(e I Ω^, (^^(Ω/)+|ζ^(Ω/)&lt;Ζ(/&gt;)&lt;(^ζηΒΧ(Ω/)+|^πώ](Ω/))} Let k = 35=&gt; V/) e jefUegftne 3Pa 3 BV(Pa)&gt;BV(P.) F.^Hdist^P^P^Q^ where y(Pe) Φ y{Pb), z(Pa) = z(Pb), Pa,Pbe Suppose= {P.\P. ^ I ^ (Ω/)(Ω/) &lt; z(i&gt;) &lt; (I Zj〇a (Qf)+l2min (Ω/))} :&gt; ^ _right/&lt;g/we 3Pe9fiF(Pc)&gt;5F(^.) F9R = Hdistar、Pc,Pd\ pd where y(Pe) Φ y(Pd), 2(Pc) = p^ g (十四)F10LF10R (左、右)中腿寬(Mid Thigh Breadth):胯下至(左、 右)膝寬間中點的水平線距離,即胯下點込❶和低膝寬f z值分縣左、右烟財平寬距;15L where y{Pa) Ψ y{Pb\ 2(p ) = z( P ) = z(尸5.〇) + 抓,) ° 2 Fl0S =Hdist(Pe,Pd) Pa&gt; Pb^ 65 1315042 where y{Pc)*y{Pd), ζ(^) = ζ(Ρ,) = f(F^tz^)&gt; 巧,Prf e Ω 2, 】 (十五)?11_〇1^11厭(左、右)腳跟點(]^61?0加):在左、右小腿 至腳掌曲線’曲率最大之點,即從左、右半身最低點往 上約1/8身高長度’在此範圍求取左、右腿内曲線 值最大之處; Suppose ςΐ贿丨舞丨=识\ Pi e inside ^leftlegline5 ^ (/?)&lt;(^ηΐΜ(Ω/) + 22π.η(Ω^))} Let k = 35 =&gt;外 eh物ine 3 Suppose ^ear ^ed = {i^ | € ^^ute rightleglme^ Z(^) &lt; ^Ζ·™χ (^/) + ~ ^ (Q/))} 2&gt;“ = 35 =ν&amp;Ω— 3 Α10Λ=Μ似(5哪 (十六)FiilF11r(左、右)小腿寬(CalfBreadth):小腿部位左右 兩邊的最大水平距離,即在左、右低膝寬F9LF9R到腳跟 Fi1_OlFii_〇r的Z值高度間,分別求取左、右小腿的最大 水平寬距; Suppose Qnear J^ = {(Ρ{ I Ps &gt; z(^) &gt; z(Fn〇i))} Ful =Max(Hdist(Qnear ^)) Supposennear righlcalf = {(/ί I Pt 6 Ω^,ζ(^9Λ) &gt; z(^.) &gt; z(Fn0R))} FnR ^ Mox{Hdist(Q.near rishlai¥)) (十七)F12lF12R (左、右)最小腿寬(Min Calf Breadth):小腿部 位左右兩邊的最小水平距離,即在左、右低膝寬 到腳跟Fu.olFu.or的Ζ值高度間,分別求取左、右小腿 的最小水平距離; Supposeζ1ηεαΓ ΐφΠάααιιχ = {(^- \Pt &amp;α^,ζ{Ρ91^&gt; z{P.y&gt;z{Fll0iy)} FnL= Min{Hdist(fl娜 Ιφπάααιν)) 66 1315042 Suppose ^nearfrightniacalf = {(^/ I e &gt; Z(^i) &gt; Z(^11.0i))} 心=M«(麻 ί(Ω_—J) (十八)1?13.01^13皿(左、右)侧頸點(^〇1&lt;;?〇丨1^):左、右頸部最 彎曲的一點,即在頸寬F2的高度至肩點F3.0LF3.()R的高 度之間,分別尋找k=20、k=35、k=50的BV值最大的 點,取此三點的平均; Suppose ΩΛββΓ /^ =|/?|^€Ω/ι,2(^()Ι)&lt;ζ(^)&lt;(^ζηΒΧ(Ω/)+^Ζηώι(Ω/))| ^VPeQ 3 F - Μαχ(βν(ρ^ L^o +Max(BV(I])) |t=3S +Max(BV(Pi)) U Λ t ^ AAnearJeftneck ^ 1 i3.〇£ — -- &quot; 3F, ^\QL 1315042 )FlR=Min{Hdis,,F5Q,Pbyh it^ near _rightthigh (13) Fsl FSR (left and right) Low Knee Breadth: the lowest level of the knees of the legs Spacing, that is, the maximum bv between 1/8 and 3/8 of the south length and the contour curve opening toward the direction (Fpl) and the -Y direction (FgR) are found from the lower left and right legs. Value, find the horizontal width of the left and right knees respectively; Suppose ={Pt fegffi(e I Ω^, (^^(Ω/)+|ζ^(Ω/)&lt;Ζ(/&gt;)&lt;( ^ζηΒΧ(Ω/)+|^πώ](Ω/))} Let k = 35=&gt; V/) e jefUegftne 3Pa 3 BV(Pa)&gt;BV(P.) F.^Hdist^P^P ^Q^ where y(Pe) Φ y{Pb), z(Pa) = z(Pb), Pa, Pbe Suppose= {P.\P. ^ I ^ (Ω/)(Ω/) &lt; z( i&gt;) &lt; (I Zj〇a (Qf)+l2min (Ω/))} :&gt; ^ _right/&lt;g/we 3Pe9fiF(Pc)&gt;5F(^.) F9R = Hdistar, Pc, Pd \ pd where y(Pe) Φ y(Pd), 2(Pc) = p^ g (fourteen) F10LF10R (left, right) Mid Thigh Breadth: kneeling down (left, right) knee width The horizontal line distance between the midpoints, that is, the underarm point and the low knee width fz value are divided into the left and right sides of the county; 15L where y{Pa) Ψ y{Pb\ 2(p ) = z( P ) = z(尸5.〇) + grab,) ° 2 Fl0S =Hdist(Pe,Pd) Pa&gt; Pb^ 65 1315042 where y{Pc)*y{Pd), ζ( ^) = ζ(Ρ,) = f(F^tz^)&gt; Qiao, Prf e Ω 2, 】 (fifteen)? 11_〇1^11 厌 (left, right) heel point (]^61?0 plus): in the left and right calf to sole curve 'the curvature of the point, that is, from the left and right half of the lowest point up about 1/ 8 height length 'in this range to find the maximum value of the curve in the left and right legs; Suppose ςΐ brim 丨 丨 = know \ Pi e inside ^leftlegline5 ^ (/?) &lt; (^ηΐΜ (Ω /) + 22π .η(Ω^))} Let k = 35 => eh ine 3 Suppose ^ear ^ed = {i^ | € ^^ute rightleglme^ Z(^) &lt; ^Ζ·TMχ (^/ ) + ~ ^ (Q/))} 2&gt;" = 35 =ν&Ω_ 3 Α10Λ=Μlike (5 which (16) FiilF11r (left and right) calfBreadth: the largest of the left and right sides of the calf The horizontal distance, that is, between the left and right low knee width F9LF9R to the heel height of the heel Fi1_OlFii_〇r, respectively, the maximum horizontal width of the left and right calves is obtained; Suppose Qnear J^ = {(Ρ{ I Ps &gt; z(^) &gt; z(Fn〇i))} Ful =Max(Hdist(Qnear ^)) Supposennear righlcalf = {(/ί I Pt 6 Ω^,ζ(^9Λ) &gt; z(^.) &gt ; z(Fn0R))} FnR ^ Mox{Hdist(Q.near rishlai¥)) (17) F12lF12R (left and right) Min Calf Breadth: left leg part left The minimum horizontal distance between the two sides, that is, between the left and right knee widths to the heel height of the heel Fu.olFu.or, respectively, the minimum horizontal distance of the left and right calves is obtained; Supposeζ1ηεαΓ ΐφΠάααιιχ = {(^- \Pt &^^,ζ{Ρ91^&gt;z{P.y&gt;z{Fll0iy)} FnL= Min{Hdist(flnaΙφπάααιν)) 66 1315042 Suppose ^nearfrightniacalf = {(^/ I e &gt; Z(^i) &gt; Z(^11.0i))} Heart = M« (Ma ί (Ω_—J) (18) 1?13.01^13 (left, right) side neck point (^〇1&lt;;?〇丨1 ^): The most curved point of the left and right necks, that is, between the height of the neck width F2 and the height of the shoulder point F3.0LF3.()R, respectively, looking for BV of k=20, k=35, k=50 The point with the largest value is taken as the average of the three points; Suppose ΩΛββΓ /^ =|/?|^€Ω/ι,2(^()Ι)&lt;ζ(^)&lt;(^ζηΒΧ(Ω/)+ ^Ζηώι(Ω/))| ^VPeQ 3 F - Μαχ(βν(ρ^ L^o +Max(BV(I))) |t=3S +Max(BV(Pi)) U Λ t ^ AAnearJeftneck ^ 1 I3.〇£ — -- &quot; 3 Suppose ^ = |i^ I /&gt; e Ω^,ζ^) &lt; z(P.) &lt; (±ΖπΒχ(Ω/)+ΑΖπώι(Ω/))| =&gt; vd 一 3 伽㈣))U 一 3 (十九)Fu軀幹長(TmnkLength):從平均侧頸點高度到胯下 點之垂直高度差,即左右側頸點F^ol F13.〇r平均高度到胯下點f5〇 之Z值差距;Suppose ^ = |i^ I /&gt; e Ω^,ζ^) &lt; z(P.) &lt; (±ΖπΒχ(Ω/)+ΑΖπώι(Ω/))| =&gt; vd a 3 gamma (4) U 3 (19) Fu torso length (TmnkLength): from the average side neck point height to the vertical height difference of the underarm point, that is, the left and right side neck points F ^ ol F13. 〇 r average height to the underarm point f5 〇 Z value gap; (二十)Fm臀高(HipHeight):從臀寬到腳跟之垂直高度差, 即臀寬F?水平尚度到腳跟點Fu 〇L fu 〇R平均高度之z值 差距; &amp;=υ+抓徑)一明) (二_^一)fi5lfi5r (左、右)膝寬(Knee Breadth):在脛骨的高度, 左右腿兩侧點的水平距離,即由胯下點f5〇沿左、右腿 内側找尋1/8至3/8身高長度間且輪廓曲線開口分別朝 +Y方向(求得F1SL)、朝_γ方向(求得Fi5r)之最大 BV值,分別求其左、右膝水平寬距; 67 1315042(20) Fm hip height (HipHeight): the difference from the hip width to the vertical height of the heel, that is, the hip width F? level to the heel point Fu 〇 L fu 〇 R average height z value gap; &amp;=υ+ Grab the path) (1) (2 _^1) fi5lfi5r (left, right) Knee Breadth: at the height of the humerus, the horizontal distance between the points on both sides of the left and right legs, that is, by the lower point f5 〇 along the left and right Find the maximum BV value of the inside of the leg between 1/8 and 3/8 height and the contour curve opening in the +Y direction (F1SL) and _γ direction (Fi5r), and find the left and right knee levels respectively. Wide distance; 67 1315042 S (^ΖπΒχ(Ω/) + ·^Ζπ»η(Ω/)&lt;Ζ(^)&lt;(^Ζ™ιχ(Ω/) + -Ζηώι(Ω/))| Let k 35 ^ 运 Qinsi^一/j沙fjggiiffe 3 Pe bBV(Pc)&gt;BF(I]) ^\5r = Hdist^ {PciPd\ Pd g where y(Pc) Φ y(Pd)y z(Pc) = z(/&gt; ), Pc, Pd e (二十二)F16LF16R(左、右)膝高(KneeHeight):從膝寬到腳跟 之垂直向度差’即左、右膝寬Fi5LFl5R水平高度到左、 右腳跟點Z值差距; ^\6L = 2(^Ι1.0ζ)~ Ζ(^Ι5λ) Ρ\βκ = Ζ(^11.0λ)~ 2(^15J?) (二十三)Fi7 Scye深(Scye Depth):從側頸點到腋下點之垂直 咼度差’即左、右側頸點FholFh.or連線,左、右腋 下點F2.olF2.〇r連線,取兩連線中點之Z值差; -^3.0£ +·^3·0/ί F2qL +F2〇r ^ 3 (二十四)?18大腿長(1'1^111^1^11):從胯下點到膝寬之垂直高 度差’即胯下點到膝寬平均高之z值差 距; A =Z(尸5.0)- 肌J +也) (二十五)胯高(内腿長)(CotchHeight):從胯下點到腳跟 68 1315042 點之垂直高度差,即胯下點Fs.q到左、右腳跟點fh〇l Fii.or平均高度之Z值差距; — Vdist(Fu(^,FS(i) + Vdist[FUQR,FSQ) (二十六)巧0肩高(Shoulder Height):從兩肩點到腳跟點之兩 垂直高度差的平均值,即兩肩點F3說巧皿之平均高 度到兩腳跟Fii.olFii.or平均高度之Z值差距; f2Q —賊^(^Ιι〇λ,6〇λ)+賊,巧。g) 2 (二十七)FZ1頸高(NeckHeight):從側頸點到腳跟點之垂直高 度差,即兩侧頸點Fu.olFuqr之平均高度到兩腳跟 Fii.olFii.or平均高度之Z值差距; p‘ — Vdist(F脆,Fi30L) + Vd峨仙,F, 2 (二十八)Fa胯腰距(BodyRise):從腰寬水平高度到胯下點 之垂直高度差,即水平腰寬F5水平高度到胯下點F 之Z值差距; F22 -z{Fs)-z{Fso) 2.人體輪廓上,Z值最大之點,翔z值不只—點時,取 二、側面求取的投影量 (一)心.0 頭頂點(Side Head Point) 所有點之中間值為頭頂點; ^1.0 eQf, Sl0 ={Ρ.{χ,ζ)\ V/, ζ = Ζηαχ(Qs)}S (^ΖπΒχ(Ω/) + ·^Ζπ»η(Ω/)&lt;Ζ(^)&lt;(^ΖTMιχ(Ω/) + -Ζηώι(Ω/))| Let k 35 ^ 运Qinsi ^一/j沙fjggiiffe 3 Pe bBV(Pc)&gt;BF(I]) ^\5r = Hdist^ {PciPd\ Pd g where y(Pc) Φ y(Pd)yz(Pc) = z(/&gt; ), Pc, Pd e (22) F16LF16R (left, right) Knee Height: Knee Height from knee width to heel' ie left and right knee width Fi5LFl5R level to left and right heel point Z Value gap; ^\6L = 2(^Ι1.0ζ)~ Ζ(^Ι5λ) Ρ\βκ = Ζ(^11.0λ)~ 2(^15J?) (23) Fi7 Scye Deep (Scye Depth): The vertical twist difference from the side neck point to the underarm point is the left and right neck point FholFh.or line, the left and right armpit points F2.olF2.〇r line, take the Z value of the midpoint of the two lines Poor; -^3.0£ +·^3·0/ί F2qL +F2〇r ^ 3 (twenty-four)? 18 thigh length (1'1^111^1^11): from the kneeling point to the knee width The vertical height difference is the z-value difference from the kneeling point to the knee width average height; A = Z (corpse 5.0) - muscle J + also) (25) 胯 high (internal leg length) (CotchHeight): from underarm Point to the vertical height difference of the heel 68 1315042 points, that is, the lower point Fs.q to the left and right heels Point fh〇l Fii.or the average height of the Z value gap; — Vdist (Fu (^, FS (i) + Vdist [FUQR, FSQ) (twenty-six) skill 0 shoulder height (Shoulder Height): from both shoulder points The average of the two vertical height differences to the heel point, that is, the average height of the two shoulder points F3 to the Z value of the average height of the two heels Fii.olFii.or; f2Q - thief ^ (^Ιι〇λ, 6〇 λ) + thief, skill. g) 2 (27) FZ1 NeckHeight: The vertical height difference from the side neck point to the heel point, that is, the average height of the two neck points Fu.olFuqr to the two heels Fii. OLFii.or average height Z-value difference; p' — Vdist (F-brittle, Fi30L) + Vd峨, F, 2 (28) Fa胯 waist (BodyRise): from the waist width level to the underarm point The vertical height difference, that is, the horizontal waist width F5 level height to the Z value of the underarm point F; F22 -z{Fs)-z{Fso) 2. The human body contour, the Z value is the largest point, the Xiang z value is not only - Point, take the second, the side of the projection amount (a) heart. 0 Head vertices (Side Head Point) The middle of all points is the head vertices; ^1.0 eQf, Sl0 = {Ρ.{χ, ζ) \ V /, ζ = Ζηαχ(Qs)} (二)S」側面腰寬(SideWaistBrea她):介於腹下點和跨下點 咼度中間,側面躺幹前後身之最短水平間距,即介於腺 下點FZ0LF2观平均冑度和跨下點匕〇高度間,取後身輪 1315042 靡曲線z值介於1/2至3/4之間的點群,若face right()則, 取最小X值之座標點’若非face right(),則取最大X值 之座標點,與前身曲線的水平間距; Suppose Q„ear bachmisl = {P( | Ps 6 Qsb, (Ω4) + (Ωs)) &lt; ζ(Ρ{) &lt; (Ω,) + 2^ (Ω,))} if face_right〇, χ(Ρα) = Μαχ^)), Ρ, e ^near backwaist if not face_right〇, x{Pa) = Minix^)), P{ e 5, =HdistCli(Pa,Pb),wherez(Pb) = z(Pa),Pb ^Qsf _ (三)S2.〇腳根點(Side Heel Point):在小腿至腳掌曲線,曲率 最大之點,即取輪廓最小Z值到輪廓最大z值間距的最 底下1/8範圍,求後身曲線BV值最大之處; * Suppose ΩΛβ0Γ JifeAee/ _ {/&gt; IP. g , (Ω^) &lt; z{P.) &lt; (~ (Ω5) +—(Qs))j 8 8 s Let A: = 35 =&gt; Vi&gt; e Qeear_iiJehed 3 520 = Max(BV(I])) (四)S2身高(HumanHeight):腳跟點到頭頂點的高度差,即 從腳跟S2.〇到頭頂Sm在Z值間距; =1 z(Sl 0) ~ z(S20) ® (五)&amp;腰高(WaistHeight):從侧面腰寬到腳跟之垂直高度 差’即水平腰寬Si高度到腳跟點s2.0之z值差距; =Ζ〇ζ(β20) (六)S4侧面臀寬(side Hip Breadth ):介於水平腰寬以下,胯 下點以上,前半身曲線和後半身曲線之間最長的水平直 線距離’即在側面腰寬Sl到胯下點巧〇的z值高度間的 點群,若face right()則,取最大X值之座標點,若非face right(),則取最小X值之座標點,與前身曲線的水平間距; 1315042 0气说却={乃丨乃e Ω^,z⑻&gt; z(乃)&gt; z(F50)} if face_right〇, x{Pa) = Max{x{P^ ?t eQneor jWeA(&gt; if not face_right〇, x{Pa) = Min{x{P^ P, ^ S4 = Hdistni {Pa,Pb), where z(Pb) = z(Pa), Pb e Qs/ (七) S5腿寬(Side Thigh Breadth):在脖下點高度,大腿兩侧 的水平寬距’即相對於正面胯下點Fw同Z值高度的兩輪 廓點,計算其水平寬距; ^ Suppose {ρβ,ρ4 I χ{ρα) Φ x{pb)j Z(PJ = z(pb) = z(&lt;FSS)\Pa 6 Pb e Ωί4} =&gt;Ss=Hdista{Pa,Pb、 (八) &amp;膝寬(Side Knee Breadth):膝蓋部位最突出點之側面 ’ 水=寬距’即相對於正面膝寬Ful'Fur平均高度的同z - 值高度的兩輪廓點,計算其水平寬距; Suppose |pe,Pft 14Pfl) ^ x{Pb), z{Pa) = z(Pft) = £(5sl)±£(^ g ^ ^ ^ =&gt;S6=Hdistn、Pa,Pb、 (九) t中腿寬(Side Mid Thigh Breadth):胯下點至侧面膝寬間 • 咼度中點的水平寬距’即相對於正面中腿寬F10丨同Z值高 度的兩輪廊點,計算其水平寬距; S7 =Hdistcl(PaiPb) ▲e 奶),狀卜奶)= z(Fm),Pflefv,p4ei^ (十)S8最小腿寬(Side Min Calf Breadth):膝寬到輪廓最低點 間的最小水平寬距,即在腿寬S5到腳跟S2_〇的Z值高度間: 求輪廓最小水平距離; Suppose Qc〇// = {i,.,6 Ω /&gt;ζ(52〇) &lt; z(/,} &lt; z(5j)} 71 1315042 Ss ^MHHdism^)) (十一)S9小腿寬(Side Calf Breadth):介於膝寬與最小腿寬間 輪廓的最大水平距離,即在膝寬S6到腳跟38的2值高 度間輪廓的最大水平寬距; Suppose = {/:. I e Ω5/, ζ(58) &lt; ζ{Ρ() &lt; Z{S6)} S9 =A/ax(/WiJi(Qca;/)) (十二)s10臀高(Side Hip Height):從側面水平臀寬位置到腳跟(2) S" side waist width (SideWaistBrea her): between the lower abdomen point and the middle point of the lower point, the shortest horizontal spacing of the front and back sides of the front and back sides, that is, the average degree of the mean and the lower limit of the FZ0LF2 Between the heights of the points, take the point group of the back wheel 1315042 with a z value between 1/2 and 3/4. If face right(), take the coordinate point of the smallest X value if it is not face right() , then take the maximum X value of the coordinate point, the horizontal distance from the curve of the precursor; Suppose Q„ear bachmisl = {P( | Ps 6 Qsb, (Ω4) + (Ωs)) &lt; ζ(Ρ{) &lt; (Ω ,) + 2^ (Ω,))} if face_right〇, χ(Ρα) = Μαχ^)), Ρ, e ^near backwaist if not face_right〇, x{Pa) = Minix^)), P{ e 5 , =HdistCli(Pa,Pb),wherez(Pb) = z(Pa),Pb ^Qsf _ (3)S2.Side Heel Point: In the calf to sole curve, the point of maximum curvature, ie The minimum Z value of the contour to the bottom 1/8 range of the maximum z-value of the contour, and the maximum BV value of the back body curve is obtained; * Suppose ΩΛβ0Γ JifeAee/ _ {/&gt; IP. g , (Ω^) &lt; z{ P.) &lt; (~ (Ω5) +—(Qs))j 8 8 s Let A: = 35 => Vi&gt; e Qeear_iiJeh Ed 3 520 = Max(BV(I))) (4) S2 height (HumanHeight): the height difference between the heel point to the head apex, that is, the distance from the heel S2.〇 to the top Sm at the Z value; =1 z(Sl 0 ) ~ z(S20) ® (5) & WaistHeight: The difference from the lateral waist width to the vertical height of the heel 'ie the horizontal waist width Si height to the heel point s2.0 z value difference; =Ζ〇ζ( 2020) (6) S4 side hip width (side Hip Breadth): below the horizontal waist width, above the squat point, the longest horizontal straight line distance between the curve of the front body and the curve of the back body 'that is the side waist width S1 to 胯The point group between the z-value heights of the next point, if face right (), take the coordinate point of the largest X value, if not face right (), take the coordinate point of the minimum X value, and the horizontal distance from the curve of the precursor; 1315042 0 gas says but = {乃丨乃e Ω^,z(8)&gt;z(乃)&gt; z(F50)} if face_right〇, x{Pa) = Max{x{P^ ?t eQneor jWeA(&gt; if Not face_right〇, x{Pa) = Min{x{P^ P, ^ S4 = Hdistni {Pa,Pb), where z(Pb) = z(Pa), Pb e Qs/ (seven) S5 leg width (Side Thigh Breadth): at the height of the neck, the horizontal width of the thighs is relative to the positive Calculate the horizontal width of the two contour points of the Fw and the height of the Z value; ^ Suppose {ρβ,ρ4 I χ{ρα) Φ x{pb)j Z(PJ = z(pb) = z(&lt;FSS )\Pa 6 Pb e Ωί4} => Ss=Hdista{Pa, Pb, (eight) & Knee Breadth: The side of the most prominent point of the knee 'water = wide distance' is relative to the front knee The width of the Ful'Fur average height is the same as the two contour points of the z-value height, and the horizontal width is calculated; Suppose |pe,Pft 14Pfl) ^ x{Pb), z{Pa) = z(Pft) = £(5sl) ±£(^ g ^ ^ ^ =>S6=Hdistn, Pa, Pb, (9) Side Mid Thigh Breadth: between the kneeling point and the side knee width • The horizontal width of the midpoint of the twist 'Complete the horizontal width of the two-wheeled corridor with the height of the leg F10 and the Z value in the front; S7 = Hdistcl(PaiPb) ▲e milk), shape milk) = z(Fm), Pflefv, p4ei ^ (10) S8 Min Min Calf Breadth: The minimum horizontal width between the knee width and the lowest point of the contour, that is, between the leg width S5 and the Z value of the heel S2_〇: Find the minimum horizontal distance of the contour; Suppose Qc〇// = {i,.,6 Ω /&gt;ζ(52〇) &lt; z(/,} &lt; z(5j)} 71 13 15042 Ss ^MHHdism^)) (11) S9 Calf Breadth: The maximum horizontal distance between the knee width and the minimum leg width, that is, the contour between the knee width S6 and the heel 38 Maximum horizontal width; Suppose = {/:. I e Ω5/, ζ(58) &lt; ζ{Ρ() &lt; Z{S6)} S9 =A/ax(/WiJi(Qca;/)) b)Sip Hip Height: from the lateral horizontal hip width to the heel 之垂直高度差,即計算臀寬S4高度到腳跟點s2〇之2:值 差距; S10=z(S4)-z(S20) (十三)Su大腿長(Side Thigh Length ):從胯下點到膝寬之垂直 高度差,即胯下點F5.〇到膝寬S6iZ值差距; 5n =z(F50)-z(S6) (十四)S12胯腰距(Side Body Rise):由側面腰寬高度到胯下點 之垂直高度差’即水平腰寬Si高度到胯下點f5〇之Z值 間距; S12 =z(St)-z(F5〇)The difference in vertical height, that is, the difference between the hip width S4 height and the heel point s2〇: S10=z(S4)-z(S20) (13) Su Tigh Length: From the kneeling point The difference in the vertical height to the knee width, that is, the difference between the kneeling point F5. 〇 to the knee width S6iZ value; 5n = z (F50) - z (S6) (fourteen) S12 胯 waist (Side Body Rise): by the side waist The vertical height difference from the wide height to the underarm point' is the Z-value spacing of the horizontal waist width Si height to the underarm point f5〇; S12 = z(St)-z(F5〇) (十五)S13足長(Foot Length ):最大腳掌長,即在最小腿寬s8高 度以下,求和腳跟點S2.〇的最大水平寬距; Suppose Ω/〇ΰΙ = {P. I p. 6 Ω,,ζ^ίΩ,) &lt; z{Pt) &lt; z(58)} S9 =Max{Hdist{^lf〇〇t)) (十六)SM侧面胸寬(ChestDepth):腋下點高度處之侧面胸厚, 即在左右腋下點F2.0L、F2.0R的平均高度處,求側面 輪廓前後半身曲線間的水平距離; S14=Hdist(Pa,Pb) 72 1315042 型之方法,其中,該Γ: 1以採黃金比例0618 :丨為佳。(15) S13 Foot Length: The maximum foot length, that is, below the minimum leg width s8 height, summing the maximum horizontal width of the heel point S2. S; Suppose Ω / 〇ΰΙ = {P. I p. 6 Ω,,ζ^ίΩ,) &lt; z{Pt) &lt; z(58)} S9 =Max{Hdist{^lf〇〇t)) (16) SM side chest width (ChestDepth): 腋下点The height of the side of the chest is thick, that is, at the average height of the left and right squat points F2.0L, F2.0R, the horizontal distance between the front and rear body curves of the side profile; S14 = Hdist (Pa, Pb) 72 1315042 type method, Among them, the Γ: 1 to take the golden ratio of 0618: 丨 is better. 5.如申請專利範圍第1項所述之從相片建構三維數位人體模 型之方法,其中,在臀圍到腋下圍區域内,由於每個人臀形幾何 形狀不見得相同,所以相片輪廓曲線與樣板模型在臀圍到胯下圍 間大腿根部的長度不一定會相等,如果直接令樣板模型上的χ 極值移動到與輪廓曲線相對的位置,則即使3D側視圖的輪廓曲 線同於原相片輪廓,但為配合較長的大腿根部造成三維資訊扭 曲,會使得下腹部發生不合理變形結果,解決方法係先建立侧面 腹部輪廓朝下的延伸曲線以及大腿根部朝上的延伸曲線,兩段延 伸線的做法疋從已知的輪廓線分別擬合出兩條二次曲線做為腿 根部與Ζ腹部的延伸線,其中,下腹部的延伸線為自腰圍與胯下 圍間的前半身曲線上最大彎曲值的點尸向下延伸到側面胯下點 高度,而由腿根部向上延伸曲線的總長度為點戶到在前半身曲線 上與胯下點同高的點之間曲線長度的111倍,求得之兩延伸線可 將其視為輪廓曲線的一部分,令樣板模型上極值的 移 與之相_錄稱為合理的結果。 別移動到 6.如申清專利範圍第5項所述之從相片建構三維數位人體模 方f&quot;,其中,m值以U為佳,此值是試驗多種不同長度所 取付一個觀視上較佳的結果。5. The method for constructing a three-dimensional digital human body model from a photo as described in claim 1, wherein in the hip-to-squat area, since the hip geometry of each person is not the same, the photo contour curve and The model model does not necessarily have the same length from the hip to the base of the thigh. If the χ value on the model is directly moved to the opposite position of the contour, even if the contour of the 3D side view is the same as the original photo. Contour, but the three-dimensional information distortion caused by the long thigh root will cause unreasonable deformation results in the lower abdomen. The solution is to establish the extension curve of the side abdomen contour and the extension curve of the thigh root upward. The practice of the line 拟合 fits two quadratic curves from the known contours as the extension line of the leg root and the abdomen, wherein the extension line of the lower abdomen is on the curve of the front half between the waist circumference and the underarm circumference. The maximum bending value of the point corpse extends down to the height of the side squat point, and the total length of the curve extending upward from the root of the leg is from the point to the curve on the front body. 111-fold between the different points of the high points of the curve length of the two extension lines determined can be considered as part of the contour of the curve, so that the extreme value on the model template shift therewith _ referred reasonable results recorded. Do not move to 6. As described in the fifth paragraph of the patent scope, the three-dimensional digital human body formula f&quot; from the photo, wherein the m value is better than U, this value is measured by a variety of different lengths. Good result. ,7.如申請專利範圍第丨項所述之從相片建構三維數位人體模 法目^中’在肩端圍到腋下圍區域内,若要得知任意點的 點移動量必須包讀射‘赠的機量以及前後 臂根圍的轉量’由於中罐在又方向的移動量能藉由 =輪棘知,因此問題在於如舰麻騎 ^ 述過程中完舰下圍到聘下圍= 藉t正面輪廓圖的資訊可得到變形後置 故肩點也可設疋為已知點,因此樣板模型臂根圍上的任一非已知 74 13150427. As described in the third paragraph of the patent application scope, from the photo construction of the three-dimensional digital human body model method ^ in the shoulder circumference to the underarm area, to know the point movement of any point must be read 'The amount of the gift and the amount of rotation of the front and rear arm circumferences' can be known by the wheel in the direction of the movement of the middle tank. Therefore, the problem lies in the completion of the ship in the process of the ship. = The information on the front contour map can be deformed and the shoulder point can also be set as a known point, so any non-known 74 1315042 on the arm of the model model arm ih ) Piih .+1)/2)|+|p(i_ )~p^t. +//+1)/2)|) 最j、外包二維特徵長=tin 1=0 ( tl 上的點 o ’ «+1表特徵圍上各小區段 主要係經過如其三維制之方法, 片及側面照片經由電腦讀取,取影像得的人體正 ^得的影像手動處理,經過圈選背景、廓Hf前 ^除雜點’再搜尋取得影像上人體邊界^^: 為基礎,將取得的:以樣板模型 型,而重建出該人體寬二==算 ε = \p^nti+x)\/ /(]pi.ti )-P((ti +ti+l )/2)|+|p(i. )_p((i. +ti+l)/2)\) 最小外包三維特徵長=Sn)-作,)| ι=0 上的係特徵圍上各小區段的裕度’ W+1表特徵圍上各小區段 77Ih ) Piih .+1)/2)|+|p(i_ )~p^t. +//+1)/2)|) Most j, outsourced 2D feature length = tin 1=0 (on tl Point o ' « _ table features around the small sections mainly through the three-dimensional method, the film and the side photos are read by the computer, the image obtained by the human body is processed manually, after circle selection background, profile Hf before ^ remove the noise point 're-search to obtain the image on the human body boundary ^ ^: Based on the basis: the model model, and reconstruct the body width two == count ε = \p^nti+x)\ / /(]pi.ti )-P((ti +ti+l )/2)|+|p(i. )_p((i. +ti+l)/2)\) Minimum Outsourcing 3D Feature Length =Sn )-作,)| The margin of each small segment around the feature on ι=0' W+1 table features small segments 77
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