TWI421466B - Method for measurement of clothes sizes by video device - Google Patents

Method for measurement of clothes sizes by video device Download PDF

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TWI421466B
TWI421466B TW98142046A TW98142046A TWI421466B TW I421466 B TWI421466 B TW I421466B TW 98142046 A TW98142046 A TW 98142046A TW 98142046 A TW98142046 A TW 98142046A TW I421466 B TWI421466 B TW I421466B
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clothes
video device
customer
outer edge
image
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TW98142046A
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TW201120399A (en
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Jung Jye Jiang
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Univ Cheng Shiu
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以視訊裝置量測所穿衣服型號之方法 Method for measuring the type of clothes worn by a video device

本發明係有關於一種以視訊裝置量測所穿衣服型號之方法,尤指一種利用視訊裝置擷取各型號衣服及客戶體型之影像,再由運算單元將二者影像進行比對,以達到快速、簡便替客戶篩選適當尺寸衣服的效益。 The invention relates to a method for measuring a type of clothes worn by a video device, in particular, a video device is used to capture images of various types of clothes and a customer's body shape, and then the arithmetic unit compares the two images to achieve fast. The convenience of screening the right size clothes for customers.

按,以非接觸式光學量測技術來檢視待測物件之三維形貌,在生物工程與精密製造業上係已被普遍應用。其主要係利用條紋投影的方式,利用投影在待測物之條紋的扭曲量,來求出物體的形狀。 According to the non-contact optical measurement technology to examine the three-dimensional shape of the object to be tested, it has been widely used in bioengineering and precision manufacturing. It mainly uses the method of fringe projection to determine the shape of the object by using the amount of distortion of the stripe projected on the object to be tested.

現有量測條紋投影輪廓技術,又可分為影像比對模式與絕對模式,此兩種模式均需有一週期性條紋圖案投影至待測表面上,再解調變對應於各縱深的扭曲條紋,然,此量測條紋投影輪廓技術,在量測大尺寸物體的三維形貌時,係難以精確地解調變,以對應於各縱深的扭曲條紋。 The existing measurement stripe projection contour technology can be further divided into an image comparison mode and an absolute mode, both of which need to have a periodic stripe pattern projected onto the surface to be tested, and then demodulate to correspond to the twisted stripe of each depth. However, this measurement fringe projection contour technique is difficult to accurately demodulate when measuring the three-dimensional shape of a large-sized object to correspond to the twisted stripe of each depth.

因此,乃有因應大尺寸物體之三維形貌,而研創出之三維形貌量測系統,該三維形貌量測系統主要係包括一參考標準片,以用於建立參考座標的相位值,一條紋投影裝置,用於投射一週期性光 學條紋於該參考標準片上,一移動平台,用於軸向移動該參考標準片,一影像感測元件,用於接收該參考標準片之影像,以及一相位計算單元,用於儲存及計算該參考標準片影像的相位值;於使用上,係由相位計算單元計算該參考標準片之參考座標的相位值後,令一待測物置於該移動平台上,並由該影像感測元件接收影像,再儲存於相位計算單元中,而後由該相位計算單元計算該待測物的三維形貌相位值。 Therefore, there is a three-dimensional shape measurement system which is developed in response to the three-dimensional shape of a large-sized object, and the three-dimensional shape measurement system mainly includes a reference standard piece for establishing a phase value of the reference coordinate, Stripe projection device for projecting a periodic light Learning stripe on the reference standard sheet, a moving platform for axially moving the reference standard sheet, an image sensing element for receiving an image of the reference standard sheet, and a phase calculating unit for storing and calculating the Referring to the phase value of the standard image; in use, after calculating the phase value of the reference coordinate of the reference standard by the phase calculation unit, placing a test object on the mobile platform, and receiving the image by the image sensing component And stored in the phase calculation unit, and then the phase calculation unit calculates the three-dimensional shape phase value of the object to be tested.

然而,該現有之三維形貌量測系統,係專門使用在工業上檢測待測物表面三維形貌之技術,功能雖強大,但需要之設備技術較為專業,故並不適合一般於商業往來,如:衣服之選購搭配等一般民生生活所使用。 However, the existing three-dimensional shape measurement system is specifically used in the industry to detect the three-dimensional shape of the surface of the object to be tested, although the function is strong, but the equipment technology required is more professional, so it is not suitable for general business dealings, such as : The purchase of clothes is used in general life and life.

緣是,本發明人有鑑於現有之量測條紋投影輪廓技術及三維形貌量測系統在設備上技術較高,且使用操作上較為不易等缺失,乃藉其多年於相關領域的製造及設計經驗和知識的輔佐,並經多方巧思,研發出本發明之以視訊裝置量測所穿衣服型號之方法。 Therefore, the present inventors have in view of the fact that the existing measurement stripe projection contour technology and the three-dimensional shape measurement system are technically high on the device, and the operation is relatively difficult to be missing, etc., by virtue of its many years of manufacturing and design in related fields. With the help of experience and knowledge, and through a lot of ingenuity, the method of measuring the type of clothes worn by the video device of the present invention has been developed.

本發明係有關於一種以視訊裝置量測所穿衣服型號之方法,其主要實施目的,係為了提供一種利用影像擷取、比對的方式,達到替客戶快速篩選適當尺寸衣服的效果。 The invention relates to a method for measuring the type of clothes worn by the video device, and the main purpose of the invention is to provide an image capturing and comparing method for quickly screening the appropriate size clothes for the customer.

為了達到上述目的,本發明人乃研擬如下以視訊裝置量測所穿衣服型號之方法,其實施步驟係包含:A.系統校正:係先校正視訊裝置與背板和目標物間的距離,以及校正拍攝背板和目標物的畫素,該目標物為穿戴有衣服之模特 兒或客戶其中之一;B.視訊取像:繼使視訊裝置拍攝目標物的影像;C.畫素解析:並使運算單元對所拍攝得之目標物的影像進行畫素之解析;D.灰階化與二值化處理:續使運算單元將擷取之目標物的影像先作灰階化,再做二值化處理,以利目標物座標的準確擷取;E.擷取衣服線條輪廓:隨之,透過運算單元驅動視訊裝置依模特兒身上所穿各型號衣服的輪廓將拍攝得之影像輸入運算單元之資料庫中;F.擷取客戶體型輪廓:透過運算單元驅動視訊裝置依照客戶體型輪廓進行影像之擷取;G.資料庫比對:將所攝得之客戶體型的輪廓與資料庫建檔之衣服輪廓進行比對分析;H.建議輸出:將適合客戶之衣服型號由顯示裝置顯示輸出。 In order to achieve the above object, the inventors have studied the following method for measuring the type of clothes worn by the video device, and the implementation steps include: A. System correction: first correcting the distance between the video device and the backplane and the target, And correcting the pixels of the photographing back sheet and the target object, which is a model wearing clothes. One of the children or the customer; B. Video capture: the image of the target device is captured by the video device; C. pixel analysis: and the arithmetic unit performs pixel analysis on the image of the captured object; Gray-scale and binarization processing: Continue to make the operation unit first gray-scale the image of the target object, and then perform binarization processing to facilitate accurate capture of the object coordinates; E. draw clothes lines Contour: In turn, the video device is driven by the computing unit to input the captured image into the database of the computing unit according to the contour of each type of clothing worn by the model; F. capturing the contour of the customer: driving the video device through the computing unit according to Customer's body contour for image capture; G. Database comparison: Compare the contour of the customer's body shape with the contour of the clothing filed by the database; H. Suggested output: the model of the clothes that will suit the customer The display device displays the output.

藉此簡便設備及便利的操作,即可幫助一般客戶在購買衣服時,不需要實際地試穿,僅需透過該發明系統即可依客戶的體型來判斷適合之尺寸衣服,如此,不僅可以節省客戶購衣之時間,更可以減少店家收取及整理衣服的時間。 By means of the simple equipment and convenient operation, the general customer can purchase the clothes without actually trying on the clothes, and only through the invention system can judge the suitable size clothes according to the customer's body shape, so that not only the saving can be achieved. When the customer purchases clothes, the time for the store to collect and organize the clothes can be reduced.

(1)‧‧‧視訊裝置 (1)‧‧‧Video devices

(2)‧‧‧運算單元 (2) ‧‧‧ arithmetic unit

(3)‧‧‧顯示裝置 (3)‧‧‧Display devices

(4)‧‧‧模特兒 (4)‧‧‧Models

(5)‧‧‧定點 (5) ‧‧ ‧ fixed point

(6)‧‧‧背板 (6)‧‧‧ Backboard

(61)‧‧‧感測單元 (61)‧‧‧Sensor unit

(7)‧‧‧客戶 (7) ‧ ‧ customers

第一圖:本發明之架構圖 First figure: the architecture diagram of the present invention

第二圖:本發明之流程圖 Second figure: flow chart of the present invention

第三圖:本發明之輸入衣服尺寸步驟實施圖(一) The third figure: the implementation step of the input garment size of the present invention (1)

第四圖:本發明之輸入衣服尺寸步驟實施圖(二) Figure 4: Implementation of the input garment size step of the present invention (2)

第五圖:本發明之視訊取像步驟實施圖(一) Figure 5: Implementation of the video capture step of the present invention (1)

第六圖:本發明之視訊取像步驟實施圖(二) Figure 6: Implementation of the video capture step of the present invention (2)

而為令本發明之技術手段及其所能達成之效果,能夠有更完整且清楚的揭露,茲詳細說明如下,請一併參閱揭露之圖式及圖號:首先,請參閱第一、二圖所示,為本發明之以視訊裝置量測所穿衣服型號之方法,係包含如下步驟:A.系統校正:請一併參第三、四圖所示,乃先將模特兒(4)放置在位於背板(6)前方的定點(5),而於該背板(6)中間處係設有一感測單元(61),以與視訊裝置(1)相互感測,幫助視訊裝置(1)進行畫素與距離之判定,繼校正視訊裝置〔webcam〕(1)與定點(5)和背板(6)間的距離,以及拍攝背板(6)和模特兒(4)身上穿戴衣服的畫素,並使背板(6)與模特兒(4)穿戴之衣服呈相反色系的搭配,以利運算單元(2)進行影像之擷取;B.視訊取像:繼之,使運算單元(2)驅動視訊裝置(1)拍攝已穿戴有衣服之模特兒(4)的影像;C.畫素解析:而後,使運算單元(2)將所攝得穿有衣服的模特兒(4)影像畫素進行解析;D.灰階化與二值化處理:隨之,將擷取之影像進行灰階化與二 值化處理,而該灰階化影像是二維矩陣影像,因此,僅有黑到白之間強度變化,沒有任何彩色資訊,與一般由紅色〔R〕、綠色〔G〕、藍色〔B〕三原色所構成的彩色影像的三維矩陣相比,影像處理的儲存空間和運算速度都減少許多;另施以二值化處理,該二值化處理即是設定一閥值〔CR〕,該閥值為自訂顏色之深度值,再選擇閥值以上深度的紅色〔R〕、綠色〔G〕、藍色〔B〕值為亮點,閥值以下數值則為暗點,繼將計算後的值作處理,其程式模式如下: In order to make the technical means of the present invention and the effects thereof can be more completely and clearly disclosed, the details are as follows. Please refer to the disclosed drawings and drawings: first, please refer to the first and second As shown in the figure, the method for measuring the type of clothes worn by the video device according to the present invention comprises the following steps: A. System calibration: Please refer to the third and fourth figures together, and the model is first (4) Placed in a fixed point (5) located in front of the back plate (6), and a sensing unit (61) is disposed in the middle of the back plate (6) to sense with the video device (1) to assist the video device ( 1) Perform pixel and distance determination, and then correct the distance between the video device (webcam) (1) and the fixed point (5) and the back panel (6), and wear the back panel (6) and the model (4). The figure of the clothes, and the back panel (6) and the model (4) wear the clothes in the opposite color system, the operation unit (2) to capture the image; B. video image: followed by Causing the arithmetic unit (2) to drive the video device (1) to take an image of the model (4) wearing the clothes; C. pixel analysis: then, the arithmetic unit (2) will be worn Models with clothes (4) image pixels for analysis; D. grayscale and binarization: followed by grayscaled and captured images Value processing, and the grayscale image is a two-dimensional matrix image, therefore, only the intensity changes from black to white, without any color information, and generally from red [R], green [G], blue [B Compared with the three-dimensional matrix of the color image formed by the three primary colors, the storage space and the calculation speed of the image processing are much reduced; and the binarization processing is performed, and the binarization processing is to set a threshold [CR], the valve The value is the depth value of the custom color, and then the red [R], green [G], and blue [B] values above the threshold are selected as bright points, and the values below the threshold are dark points, and the calculated values are followed. For processing, the program mode is as follows:

Private Sub Clk( ) Private Sub Clk( )

If Gray<CR Then Gray=0 If Gray<CR Then Gray=0

If Gray>CR Then Gray=255 If Gray>CR Then Gray=255

End If End If

由二值化閥值擷取技巧便可找出正確的目標位置之座標,擷取這些座標資料後便可做準確的尺寸分析;E.擷取衣服線條輪廓:續之,將各型號的衣服〔S、M、L、XL、XXL〕穿至模特兒(4)身上,再由運算單元(2)驅動視訊裝置(1)以模特兒(4)中心處為起點,使鏡頭依模特兒(4)肩膀外緣(a)、上手臂上方至肘部外緣(b)、肘部至下手臂上方外緣(c)、下手臂下方至肘部外緣(d)、肘部至上手臂下方外緣(e)及上手臂至衣服下擺之垂直外緣(f)等部位之順序由右至左,由上至下,再由左至右往復掃描衣服輪廓,以得到(a)、(b)、(c)、(d)、(e)、(f)各段直線條, 再以各段直線條之交會點座標距離,即可得知衣服相關尺寸,繼將衣服及相關尺寸之影像輸入運算單元(2)資料庫,再依各型號衣服的尺寸進行分類;F.擷取客戶體型輪廓:請一併參第五、六圖所示,當客戶(7)欲購買衣服時,則重覆上述A.系統校正、B.視訊取像、C.畫素解析、D.灰階化與二值化處理及E.線條輪廓擷取等步驟,以使客戶(7)站在定點(5)上,且依客戶(7)現有穿著的衣服顏色深淺搭配相反色系之背板(6),而後攝取客戶(7)影像,並經畫素解析和灰階化與二值化處理後,再按擷取衣服尺寸相同之順序掃描拍攝客戶(7)體型大小之影像;G.資料庫比對:隨之,將拍攝而得之客戶(7)體型的影像與運算單元(2)之資料庫建檔的衣服尺寸大小做比對,並以最接近且大於客戶(7)體型之型號作為選擇目標;H.建議輸出:復將適合客戶(7)之衣服型號,由顯示裝置(3)顯示輸出。 From the binarization threshold extraction technique, the coordinates of the correct target position can be found, and the coordinate data can be accurately analyzed after taking the coordinate data; E. Drawing the outline of the clothes line: Continued, the clothes of each model will be selected. [S, M, L, XL, XXL] is worn on the model (4), and then the computing unit (2) drives the video device (1) starting from the center of the model (4), making the lens dependent on the model ( 4) The outer edge of the shoulder (a), the upper arm above the elbow outer edge (b), the elbow to the upper edge of the lower arm (c), the lower arm below the elbow outer edge (d), the elbow to the upper arm The outer edge (e) and the vertical arm (f) of the upper arm to the hem of the garment are sequentially rotated from right to left, from top to bottom, and then left to right to scan the outline of the garment to obtain (a), (b) Straight lines of paragraphs (c), (d), (e) and (f), Then, with the coordinate distance of each straight line, you can know the size of the clothes. After entering the image of the clothes and related sizes into the computing unit (2) database, and then according to the size of each type of clothing; F.撷Take the customer's body contour: please refer to the fifth and sixth figures together. When the customer (7) wants to buy clothes, repeat the above A. system correction, B. video acquisition, C. pixel analysis, D. gray Steps such as gradation and binarization and E. line contour extraction, so that the customer (7) stands on the fixed point (5), and according to the customer (7), the color of the existing clothes is matched with the back panel of the opposite color. (6), and then ingest the customer (7) image, and after the pixel analysis and grayscale and binarization processing, scan the image of the customer (7) size in the same order as the size of the clothes; G. Database comparison: Consequently, the image of the customer (7) and the size of the clothing filed by the database of the computing unit (2) are compared, and the closest and larger than the customer (7) The model is selected as the target; H. Suggested output: the clothing model suitable for the customer (7) will be displayed by the display device (3) Out.

據此,藉由本發明之視訊裝置(1)擷取影像的功能,以將選購衣服客戶(7)的體型與運算單元(2)資料庫內預輸入之各型號衣服尺寸的影像相比對,於此,客戶(7)在購買衣服時,便不再需要實際地試穿,僅需透過本發明系統之篩選,即可依客戶(7)的體型來判斷適合之尺寸衣服,如此一來,不僅可以節省客戶(7)選購衣服的時間,也可以減少店家收取及整理衣服的不便性。 Accordingly, the function of capturing the image by the video device (1) of the present invention compares the size of the selected clothing client (7) with the image of each model size pre-inputted in the database of the computing unit (2). Here, the customer (7) no longer needs to actually try on the clothes when purchasing the clothes, and only through the screening of the system of the invention, the suitable size clothes can be judged according to the size of the customer (7), thus Not only can save customers (7) the time to buy clothes, but also reduce the inconvenience of collecting and sorting clothes.

由上述結構及實施方式可知,本發明係具有如下優點: As can be seen from the above structures and embodiments, the present invention has the following advantages:

1.本發明係由一視訊裝置〔webcam〕、一運算單元及一顯示裝置所組成,利用視訊裝置擷取各型號衣服,以及選購衣服客戶體型的影像,再輸入運算單元將二者影像進行比對,而後由顯示裝置顯示出比對結果,藉此,簡便系統設計及操作方式,即可達到快速替客戶篩選適當尺寸衣服的效果。 1. The present invention consists of a video device (webcam), an arithmetic unit and a display device. The video device is used to capture various types of clothes, and the image of the customer's body shape is purchased, and then the arithmetic unit is used to input the images of the two. The comparison is performed, and then the display device displays the comparison result, thereby simplifying the system design and operation mode, and the effect of quickly screening the appropriate size clothes for the customer can be achieved.

2.本發明係藉由灰階化與二值化處理,以將彩色影像灰階化,再利用二值化處理,以確定擷取之影像的正確尺寸,如此,便可加快影像儲存和運算的速度,並使影像比對的結果更為準確。 2. The present invention uses grayscale and binarization processing to grayscale color images and then use binarization to determine the correct size of the captured image, thus speeding up image storage and operations. The speed and accuracy of the image comparison.

3.本發明係可以快速擷取客戶體型尺寸,再與運算單元預存之各型號衣服尺寸運算比對,於此,客戶在購買衣服時,便不需要實際試穿,便可篩選出適合該客戶體型之衣服,以達到節省客戶選購衣服時間的效果。 3. The invention can quickly capture the size of the customer's body shape, and then compare with the size of each type of clothing pre-stored by the computing unit. Here, when the customer purchases the clothes, the customer does not need to actually try on, and the user can be selected to suit the customer. Body clothes to save customers time to buy clothes.

4.本發明係可以幫助客戶購買衣服時,不需實際試穿,便可篩選出適合之衣服,藉此,除節省客戶選購衣服的時間外,更可以減少店家收取及整理衣服的麻煩。 4. The invention can help the customer to select suitable clothes without actually trying on the clothes when purchasing the clothes, thereby saving the trouble for the store to collect and organize the clothes, in addition to saving the time for the customers to purchase the clothes.

綜上所述,本發明實施例確能達到所預期功效,又其所揭露之具體構造,不僅未曾見諸於同類產品中,亦未曾公開於申請前,誠已完全符合專利法之規定與要求,爰依法提出發明專利之申請,懇請惠予審查,並賜准專利,則實感德便。 In summary, the embodiments of the present invention can achieve the expected functions, and the specific structures disclosed therein have not been seen in similar products, nor have they been disclosed before the application, and have fully complied with the requirements and requirements of the Patent Law. If you apply for an invention patent in accordance with the law, you are welcome to review it and grant a patent.

Claims (9)

一種以視訊裝置量測所穿衣服型號之方法,其步驟係包含:A.系統校正:係先校正視訊裝置與背板和目標物間的距離,以及校正拍攝背板和目標物的畫素,該目標物為穿戴有衣服之模特兒或客戶其中之一;B.視訊取像:繼使視訊裝置拍攝目標物的影像;C.畫素解析:並使運算單元對所拍攝得之目標物的影像進行畫素之解析;D.灰階化與二值化處理:續使運算單元將擷取之目標物的影像先作灰階化,再做二值化處理,以利目標物座標的準確擷取;E.擷取衣服線條輪廓:隨之,透過運算單元驅動視訊裝置依模特兒身上所穿各型號衣服的輪廓將拍攝得之影像輸入運算單元之資料庫中;F.擷取客戶體型輪廓:透過運算單元驅動視訊裝置依照客戶體型輪廓進行影像之擷取;G.資料庫比對:將所攝得之客戶體型的輪廓與資料庫建檔之衣服輪廓進行比對分析;H.建議輸出:將適合客戶之衣服型號由顯示裝置顯示輸出。 A method for measuring a type of clothes worn by a video device, the steps of which include: A. System calibration: first correcting the distance between the video device and the backplane and the target, and correcting the pixels of the photographing backplane and the target. The target is one of a model or a customer wearing clothes; B. video capture: an image of the target device being captured by the video device; C. pixel analysis: and the computing unit is directed to the target object The image is analyzed by the pixel; D. Gray-scale and binarization processing: Continue to make the image of the target object of the captured object first gray-scaled, and then binarized to facilitate the accuracy of the object coordinates. E. Capture the outline of the clothes line: then, drive the video device through the computing unit to input the captured image into the database of the computing unit according to the contour of each type of clothing worn on the model; F. Capture the customer's body shape Contour: The video unit is driven by the computing unit to capture the image according to the contour of the customer; G. Database comparison: comparing the contour of the captured customer's body shape with the outline of the clothing filed by the database; H. Suggestion lose Out: Display the output of the clothing model suitable for the customer. 如申請專利範圍第1項所述以視訊裝置量測所穿衣服型號之方法,其中,在系統校正之步驟時,係使背板與目標物穿著之衣服顏色取相反色系。 The method for measuring the type of clothes worn by the video device according to the first aspect of the patent application, wherein, in the step of system calibration, the colors of the clothes worn by the backboard and the target are in opposite colors. 如申請專利範圍第1或2項所述以視訊裝置量測所穿衣服型號之方 法,其中,該背板中間處係進一步設有一感測單元,以與視訊裝置相互感測。 The method of measuring the type of clothes worn by the video device as described in claim 1 or 2 The method further includes a sensing unit in the middle of the backboard for sensing with the video device. 如申請專利範圍第3項所述以視訊裝置量測所穿衣服型號之方法,其中,該背板前方係進一步設有一定點,以供目標物位置其上。 The method for measuring the type of clothes worn by the video device according to the third aspect of the patent application, wherein the front side of the backboard is further provided with a certain point for the target to be placed thereon. 如申請專利範圍第1項所述以視訊裝置量測所穿衣服型號之方法,其中,該灰階化係將擷取之目標物的影像製成僅有黑到白之間強度變化之二維矩陣影像。 The method for measuring the type of clothes worn by the video device according to the first aspect of the patent application, wherein the grayscale system makes the image of the target object obtained into a two-dimensional change only between black and white. Matrix image. 如申請專利範圍第1或5項所述以視訊裝置量測所穿衣服型號之方法,其中,該二值化處理係設定一閥值,再選擇閥值以上深度的紅色、綠色、藍色值為亮點,閥值以下數值為暗點,藉此,以利擷取目標物的正確位置座標。 The method for measuring a wearing type by a video device according to the first or fifth aspect of the patent application, wherein the binarization processing sets a threshold value, and then selects a red, green, and blue value having a depth greater than a threshold value. For the bright spot, the value below the threshold is a dark point, thereby taking advantage of the coordinates of the correct position of the target. 如申請專利範圍第1項所述以視訊裝置量測所穿衣服型號之方法,其中,該擷取衣服線條輪廓順序係以模特兒中心處為起點,使視訊裝置之鏡頭依模特兒肩膀外緣、上手臂上方至肘部外緣、肘部至下手臂上方外緣、下手臂下方至肘部外緣、肘部至上手臂下方外緣及上手臂至衣服下擺之垂直外緣等部位順序由右至左,由上至下,再由左至右往復掃描衣服輪廓以得到各段直線條,再以各段直線條之交會點座標距離即可得知衣服相關尺寸,繼將衣服及相關尺寸之影像輸入運算單元資料庫,再依各型號衣服的尺寸進行分類。 For example, in the method of claim 1, the method for measuring the type of clothes worn by the video device, wherein the outline of the drawn clothes line is starting from the center of the model, and the lens of the video device is based on the outer edge of the model shoulder. The upper part of the upper arm to the outer edge of the elbow, the outer edge of the elbow to the lower arm, the lower arm to the outer edge of the elbow, the outer edge of the elbow to the upper arm and the vertical outer edge of the upper arm to the hem of the clothes are sequentially arranged by the right. To the left, from top to bottom, then reciprocally scan the outline of the clothes from left to right to obtain each line of straight lines, and then the distance of the intersection of each line of straight lines can be used to know the size of the clothes, followed by the clothes and related sizes. The image is input into the database of the computing unit, and then classified according to the size of each type of clothing. 如申請專利範圍第1或7項所述以視訊裝置量測所穿衣服型號之方法,其中,該擷取客戶體型輪廓順序係由客戶身體中心處為起點,使鏡頭依客戶肩膀外緣、上手臂上方至肘部外緣、肘部至下手臂上方外緣、下手臂下方至肘部外緣、肘部至上手臂下方外緣及 上手臂至衣服下擺之垂直外緣等部位順序由右至左,由上至下,再由左至右往復掃描擷取客戶體型輪廓以得到各段直線條,再以各段直線條之交會點座標距離即可得知客戶體型大小。 The method for measuring the type of clothes worn by the video device according to claim 1 or 7, wherein the order of the body shape of the customer is taken from the center of the customer's body, so that the lens is on the outer edge of the shoulder of the customer. From the top of the arm to the outer edge of the elbow, the outer edge of the elbow to the lower arm, the lower arm to the outer edge of the elbow, the elbow to the outer edge of the upper arm and The vertical outer edge of the upper arm to the hem of the garment is sequentially from right to left, from top to bottom, and then reciprocally scanned from left to right to capture the contour of the customer to obtain the straight lines of each segment, and then the intersection of the straight lines of each segment The coordinate distance will tell you the size of the customer. 如申請專利範圍第1項所述以視訊裝置量測所穿衣服型號之方法,其中,該視訊裝置係為網路攝影機〔webcam〕。 A method for measuring a type of clothes worn by a video device as described in claim 1 is wherein the video device is a webcam.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW505892B (en) * 2001-05-25 2002-10-11 Ind Tech Res Inst System and method for promptly tracking multiple faces
TWM274600U (en) * 2005-04-06 2005-09-01 Jasslin Technology Co Ltd Image analysis counting device
TW200729083A (en) * 2006-01-23 2007-08-01 Univ Nat Kaohsiung 1St Univ Sc Auto-detection of continuous changes of lips on face
CN100543771C (en) * 2006-05-10 2009-09-23 航伟科技股份有限公司 Body local image automatic standardizing method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW505892B (en) * 2001-05-25 2002-10-11 Ind Tech Res Inst System and method for promptly tracking multiple faces
TWM274600U (en) * 2005-04-06 2005-09-01 Jasslin Technology Co Ltd Image analysis counting device
TW200729083A (en) * 2006-01-23 2007-08-01 Univ Nat Kaohsiung 1St Univ Sc Auto-detection of continuous changes of lips on face
CN100543771C (en) * 2006-05-10 2009-09-23 航伟科技股份有限公司 Body local image automatic standardizing method

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