WO2017131453A1 - Method and device for manufacturing head molded article according to head type - Google Patents

Method and device for manufacturing head molded article according to head type Download PDF

Info

Publication number
WO2017131453A1
WO2017131453A1 PCT/KR2017/000919 KR2017000919W WO2017131453A1 WO 2017131453 A1 WO2017131453 A1 WO 2017131453A1 KR 2017000919 W KR2017000919 W KR 2017000919W WO 2017131453 A1 WO2017131453 A1 WO 2017131453A1
Authority
WO
WIPO (PCT)
Prior art keywords
head
age group
dimensional
scan data
type
Prior art date
Application number
PCT/KR2017/000919
Other languages
French (fr)
Korean (ko)
Inventor
박세진
수브라마니암무랄리
김영휴
홍승희
Original Assignee
한국표준과학연구원
주식회사 씨크릿우먼
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 한국표준과학연구원, 주식회사 씨크릿우먼 filed Critical 한국표준과학연구원
Publication of WO2017131453A1 publication Critical patent/WO2017131453A1/en

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A41WEARING APPAREL
    • A41GARTIFICIAL FLOWERS; WIGS; MASKS; FEATHERS
    • A41G5/00Hair pieces, inserts, rolls, pads, or the like; Toupées

Definitions

  • the present invention relates to a method for manufacturing a head-shaped molding for each head type and a manufacturing apparatus for manufacturing a head-shaped molding for each head type.
  • the present invention divides a plurality of three-dimensional head-shaped scan data according to head type for each age group and each age group.
  • the present invention relates to a method for manufacturing a two-phase molded article for each two-phase type based on a result of comparing and analyzing the lateral shapes of the two-phases generated by applying the golden ratio of the representative head phase and the Fibonacci sequence for each head phase type, and a manufacturing apparatus thereof.
  • the heads are racially different, and Asians often have flat heads in which the back of the head is settled compared to Westerners.
  • Asians In order to overcome this by lifting the hair of the crown part in the beauty salon, there is a problem that the hair of the crown part sinks over time.
  • the prior art can only temporarily maintain the volume-up effect, and over time, the volume-up effect is gradually lost due to the weight of the hairline of the wig and the artificial hair or natural hair implanted in the hairline.
  • the implementation is limited when the user wants to obtain a volume-up effect on any part of the user's head.
  • the present invention provides a head-shaped molding that can provide the effect that the user's head is molded according to the golden ratio to the head, head head that can provide a head-shaped molding that can easily maximize the cosmetic effect according to the user's head type It is an object of the present invention to provide a method for manufacturing a head-shaped molding by type and an apparatus for manufacturing the same.
  • a method for manufacturing a head shape for each head phase type divides a plurality of three-dimensional head image scan data for each age group, and the divided three-dimensional head image scan data for each age group. Classifying them according to the head type of each age group; Extracting scan data of a three-dimensional head image representative of each head type for each age group; Each of the three-dimensional head images generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group and the three-dimensional head image scan data extracted for each head type of each age group.
  • the head shape manufacturing apparatus for each head type divides a plurality of three-dimensional head image scan data for each age group, and the head image data for storing the divided three-dimensional head image scan data for each age group according to the head type for each age group.
  • Storage unit A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image;
  • the three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group.
  • an analysis unit and compare and store the results of the comparative analysis through the analysis unit according to the head type for each age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
  • the classification according to the head type of each age group for the divided three-dimensional head scan data for each age group, the factor analysis of the data for each head scan measurement item forming the three-dimensional head scan data Is performed for each age group and cluster analysis using the factors extracted through the factor analysis for each age group, or by applying artificial intelligence techniques such as machine learning to the head type of each age group. Can be divided accordingly.
  • the scan data extraction of the three-dimensional head image represented for each head type for each age group the three-dimensional head scan data corresponding to their average among the three-dimensional head scan data corresponding to each head type for each age group is allowed
  • the three-dimensional head image scan data having values within the difference value range may be extracted as the representative three-dimensional head image scan data.
  • the comparative analysis of the lateral shape is a three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head type for each age group, with predetermined items to be compared related to the lateral shape of the three-dimensional head image in advance.
  • the values corresponding to the respective comparison target items may be compared between the dimension representative two phases.
  • the present invention can be molded into a head phase having an optimal golden ratio in producing a head phase molded article that can provide the effect that the user's head phase is molded.
  • the present invention is to classify the head type of each age group for the head of women of each race and to be manufactured differently for the head type differently for each head type, in particular to the age and head type of female users who are interested in beauty Custom-made head shape moldings can be provided that can be molded into two phases with optimal golden ratio.
  • FIG. 1 is a flowchart illustrating a method of manufacturing a two-phase molded article for each type of head according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing 45 measurement items constituting three-dimensional head image scan data used in the present invention.
  • FIG. 3 is a diagram illustrating features of four head types divided for each age group according to the present invention.
  • 5A to 5D are diagrams showing a method of applying the golden ratio of Fibonacci sequence to the two phases.
  • 6A to 6C are diagrams showing an example of a result of a comparative analysis with a head to which a golden ratio is applied to each head type according to the age group according to the present invention.
  • the method for manufacturing a head shape molding for each head type comprises the steps of: classifying a plurality of three-dimensional head image scan data for each age group, and classifying the divided three-dimensional head image scan data for each age group according to each age group head type; Extracting scan data of a three-dimensional head image representative of each head type for each age group; Each of the three-dimensional head images generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group and the three-dimensional head image scan data extracted for each head type of each age group.
  • the head shape molding apparatus for each head type divides a plurality of three-dimensional head image scan data for each age group, and stores the divided three-dimensional head image scan data for each age group for each age group head type Head image data storage;
  • a scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image;
  • the three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group.
  • an analysis unit and compare and store the results of the comparative analysis through the analysis unit according to the head type for each age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
  • the data to which the golden ratio of Fibonacci sequence is applied among the three-dimensional head image scan data extracted for each head type according to each age group is a ratio of nose length and nose root nose vertical length, eyeball bead horizontal length and nose length ratio.
  • Ratio of nose root ear root horizontal length to nose length, vertical length from head to right ear point and nose root ear root horizontal length, left ear ball vertical length and head band horizontal The ratio of length, the length of the eyeball horizontal length and the vertical length of the left ear bead on the ridge, the ratio of the vertical length of the head to the right ear, and the length of the head ridge and the length of the head It is characterized by any one or more of the ratio.
  • dividing the divided 3D head scan data for each age group into head head types for each age group may include factor analysis for data of head scan measurement items forming the 3D head scan data. It is characterized in that it is carried out for each age group and perform a cluster analysis (Cluster Analysis) using the factors extracted through the factor analysis for each age group, or through machine learning (machine learning).
  • cluster Analysis Cluster Analysis
  • machine learning machine learning
  • the comparative analysis of the lateral shape is a three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head type for each age group, with predetermined items to be compared related to the lateral shape of the three-dimensional head image in advance. It is performed by comparing the values corresponding to the respective items to be compared between the dimension representative two phases.
  • FIG. 1 is a flowchart illustrating a method for manufacturing a head shape molding for each head type according to an embodiment of the present invention
  • FIG. 2 is a view showing 45 measurement items constituting three-dimensional head image scan data used in the present invention
  • 3 is a view showing the characteristics of four head types divided for each age group according to the present invention
  • FIG. 4 is a view showing main items necessary for shaping the head side
  • FIGS. 5A to 5D are Fibonacci sequences.
  • Figure 6 is a view showing a method of applying the golden ratio of the side of the head
  • Figures 6a to 6c is an example of the result of the comparative analysis with the head with the golden ratio is applied to the head type of each age group according to the present invention
  • One drawing is a flowchart illustrating a method for manufacturing a head shape molding for each head type according to an embodiment of the present invention
  • FIG. 2 is a view showing 45 measurement items constituting three-dimensional head image scan data used in the present invention.
  • 3 is a view
  • the present invention classifies a plurality of three-dimensional head-scan data according to the head type for each age group (S100).
  • the three-dimensional head scan data of the 609 women among the size Korea 6th anthropometric data were used as a plurality of three-dimensional head scan data.
  • the 3D head scan data were classified by age group through -way ANOVA analysis.
  • the following three-dimensional head scan data classified for each age group is classified according to the head type for each age group.
  • the following factor analysis and cluster analysis were performed.
  • the three-dimensional head scan data may be composed of data of 45 head scan scan items, and in the present invention, factor analysis of data of the 45 head scan scan items may be performed. ) Was performed for each age group, and cluster analysis using the factors extracted through the factor analysis for each age group was performed to perform classification according to the head type of each age group.
  • the factor analysis is to identify factors that cannot be measured directly based on a series of measured variables, and to simplify the contents by tying a large number of variables into a few factors.
  • factor analysis can be used for the following purposes. First, many related variables are grouped into a single factor, so many variables are reduced to a small number of factors. Second, even if not included or included in the factor, it is possible to find a variable of low importance so that unnecessary variables can be removed. Third, related variables are tied together to form factors, and these factors have characteristics that are independent of each other. Fourth, the variables measured to measure one characteristic are grouped into one factor. Fifth, based on factor loadings, variables that can be used for additional analysis such as regression, discriminant analysis, and cluster analysis can be made.
  • cluster analysis was performed on the three-dimensional head scan data of each age group based on the four main factors derived through the factor analysis.
  • Cluster analysis classifies subjects with high similarity by measuring similarity of each object, and it is a clear standard for classifying subjects by statistical analysis method that identifies similarity between objects belonging to the same cluster and objects belonging to different clusters. This is a technique used to classify objects with various characteristics into groups in the nonexistent or unknown criteria.
  • Cluster analysis is a multivariate statistical technique that groups similar objects based on the characteristics of an object. Two or more groups are formed by cluster analysis, and each group is called a cluster. The key to cluster analysis is to group objects in clusters as similarly as possible and as differently as possible between clusters.
  • the data were divided into four head types for each age group.
  • the characteristics of the four head types divided by each age group are shown in FIG. 3. Looking at the characteristics of each of the head types in the 40s age group, in the case of the head type I of the 40s age, The horizontal length of the posterior head protrusion is long, and the two-phase type II has the short horizontal length and the vertical head length of the ear ball. The two-phase type III has the long vertical length, and the two-phase type IV has the long length. It can be seen that the horizontal length of the eye-earrings is long. And, as shown in Figure 3, it can also be seen that the characteristics of each head type for each age group appear different.
  • the above factor analysis and cluster analysis may be performed through, for example, a statistical package for the social sciences (SPSS) developed for data management and statistical analysis, and artificial intelligence such as machine learning.
  • SPSS social sciences
  • the present invention extracts the scan data of the three-dimensional head image represented for each head type of each age group shown in Figure 3 (S110).
  • the extraction may extract, as an example, the scan data of the three-dimensional head image closest to the standard head image among the three-dimensional head image scan data belonging to each head type as the three-dimensional head image scan data represented by the head phase type. . Accordingly, among the three-dimensional head scan data corresponding to each age group, one three-dimensional head scan data having three-dimensional head scan data corresponding to their average and values within a preset allowable difference value range is selected. The scan data may be extracted as a representative three-dimensional head image.
  • the present invention extracts three-dimensional head images representative of each head type for each age group, and then extracts three-dimensional head images of each head group type for each age group.
  • the three-dimensional representative heads are compared with the three-dimensional heads generated by applying the golden ratio of Fibonacci sequence (S120).
  • the Fibonacci sequence created by Italian mathematician Leonardo Fibonacci, is a sequence that starts with the first and second terms starting with 1, and adds the last two terms to the next term.
  • golden ratio This value is called the golden ratio (GR).
  • GR golden ratio
  • the Fibonacci sequence By using the Fibonacci sequence, it is possible to draw a golden ratio rectangle and a curve.
  • the length of one side continues to draw a square composed of each term of the Fibonacci sequence, it has a golden ratio having an aspect ratio of 1: 0.61803, or 0.61803: 1.
  • a ratio rectangle is drawn, and a curve having a certain shape is drawn by connecting arcs that fit each square, and the actual ammonite shell curve is formed at the golden ratio as shown above.
  • the present invention applies the above-described golden ratio of Fibonacci sequence to the generation of the length value for each section necessary to shape the three-dimensional head, thereby generating data for the three-dimensional head having the golden ratio.
  • FIG. 4 is a schematic diagram of main items necessary for shaping the three-dimensional head image from among 45 head scan measurement items of the three-dimensional head scan data described with reference to FIG. 2, and the present invention shows each item shown in FIG. 4.
  • the length value for each section of the three-dimensional head image including the three-dimensional head image it is generated by applying the golden ratio of the Fibonacci sequence as shown in the examples shown in Figs.
  • the present invention generates length values for each section of the three-dimensional head by applying the golden ratio of the Fibonacci sequence as shown in FIGS. A comparative analysis is performed on the three-dimensional representative head image and its side shape for each head type.
  • the comparative analysis in accordance with an embodiment of the three-dimensional head image generated by applying the golden ratio of the Fibonacci sequence, the predetermined target items related to the side shape of the three-dimensional head image in advance and 3 for each head type of each age group
  • the values corresponding to the items to be compared may be compared with each other between the dimension representative two phases.
  • FIGS. 6A to 6C illustrate an example of a result of a comparative analysis for each head type of each age group.
  • the comparison target items shown in FIGS. 6A to 6C include a head circumference, a brow length, and a head length.
  • the difference values may be derived as a result of the comparative analysis of the values corresponding to each comparison target item.
  • the present invention matches and stores the result of the comparative analysis for each head type by age group, and prepares a head-shaped molding based on the result of the comparative analysis stored by matching the head type for each age group (S130).
  • the present invention prepares a head-shaped molding based on a result of comparing and analyzing the lateral shape between the three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head represented by the head type for each age group.
  • women users want to reflect the head area to volume-up the hair, and it is possible to provide a head-shaped molding that can provide the effect of the head is molded according to the optimal golden ratio on the head side of the user. give.
  • the present invention distinguishes the head type of each age group with respect to the head of the race women by different ages and to make the head molded product differently for each head type, particularly tailored to the age and head type of female users who are interested in beauty It can provide a head-shaped molding that can be molded into a head phase having an optimal golden ratio.
  • the steps S100 to S120 are performed by a statistical analysis program executed by an arithmetic processing means including a computer, and the step S130 is performed by performing the steps S100 to S120. It can be carried out by means of control in the apparatus which can produce the head-shaped moldings on the basis.
  • the head shape manufacturing apparatus for each head type divides a plurality of three-dimensional head image scan data for each age group, and the head image data for storing the divided three-dimensional head image scan data for each age group according to the head type for each age group.
  • Storage unit A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image;
  • the three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group.
  • an analysis unit and compare and store the result of the comparative analysis through the analysis unit according to the head type according to the corresponding age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
  • Head phase molding method and manufacturing apparatus for each head type of the present invention can be used in the hair beauty industry.

Landscapes

  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Image Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to a method and a device for manufacturing a head molded article according to head type, and the purpose of the present invention is to provide: a method capable of dividing a plurality of three-dimensional head scan data pieces according to each head type by age group, and manufacturing a head molded article according to head type on the basis of comparison and analysis results of lateral shapes between a representative head for each of head types divided by age group and a head generated by applying the golden ratio of the Fibonacci sequence thereto; and a device for manufacturing a head molded article through the method.

Description

두상 타입별 두상 성형물 제조 방법 및 제조 장치Manufacturing method and apparatus for head phase molding by head phase type
본 발명은 두상 타입별 두상 성형물 제조 방법과 두상 타입별 두상 성형물을 제조하는 제조 장치에 관한 것으로, 본 발명은 다수의 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하고 그 구분된 각 연령대별 두상 타입마다 대표되는 두상과 피보나치 수열의 황금비율을 적용하여 생성시킨 두상 간의 측면 형상을 비교 분석한 결과를 토대로 두상 타입별 두상 성형물을 제조하는 방법과 그에 따른 제조 장치에 관한 것이다.The present invention relates to a method for manufacturing a head-shaped molding for each head type and a manufacturing apparatus for manufacturing a head-shaped molding for each head type. The present invention divides a plurality of three-dimensional head-shaped scan data according to head type for each age group and each age group. The present invention relates to a method for manufacturing a two-phase molded article for each two-phase type based on a result of comparing and analyzing the lateral shapes of the two-phases generated by applying the golden ratio of the representative head phase and the Fibonacci sequence for each head phase type, and a manufacturing apparatus thereof.
일반적으로 두상은 인종별로 차이가 있으며, 동양인의 경우 서양인에 비해 뒷머리부위가 가라앉는 납작한 형태의 두상을 가진 경우가 많다. 이에 대해 미용실 등에서 정수리 부위의 머리카락을 들어 올리는 과정을 통해 이를 극복하고자 하나, 시간이 지남에 따라 정수리 부위의 머리카락이 다시 가라앉는 문제가 있다.In general, the heads are racially different, and Asians often have flat heads in which the back of the head is settled compared to Westerners. In order to overcome this by lifting the hair of the crown part in the beauty salon, there is a problem that the hair of the crown part sinks over time.
본 출원인에 의해 등록된 한국등록특허 제0844139호 (등록일자: 2008. 06. 30.) 의 경우, 가발 후면부에 식모라인을 복수로 형성한 상태에서 상기 식모라인에 인조모발 또는 천연모발을 이식함으로써 자연스러운 모발이 형성되고, 상기 식모라인이 사용자의 자모에 의해 상부로 들어올려지는 현상을 통해 볼륨-업 효과를 향상시킬 수 있는 것을 특징으로 하고 있다.In the case of Korean Registered Patent No. 0444139 (Registration Date: 2008. 06. 30.) registered by the applicant, by implanting artificial hair or natural hair in the hair transplanting line in a state where a plurality of hair transplantation lines are formed on the back side of the wig The natural hair is formed, and the hair growth line is lifted upward by the user's hair, and the volume-up effect can be improved.
그러나, 종래 기술은 일시적으로 볼륨-업 효과가 유지될 수 있을 뿐, 시간이 지날수록 가발의 식모라인 및 상기 식모라인에 이식된 인조모발 또는 천연모발에 의한 무게로 인해 볼륨-업 효과가 점차 상실되는 문제가 있고, 또한 사용자 두부(頭部)의 임의의 부위에 대한 볼륨-업 효과를 얻고자 하는 경우 구현이 제한적인 문제가 있다.However, the prior art can only temporarily maintain the volume-up effect, and over time, the volume-up effect is gradually lost due to the weight of the hairline of the wig and the artificial hair or natural hair implanted in the hairline. In addition, there is a problem in that the implementation is limited when the user wants to obtain a volume-up effect on any part of the user's head.
따라서, 가발의 모발이나 사용자의 자기 모발에 의해 헤어의 볼륨-업 효과를 지속시키는데는 한계가 있으므로, 사용자의 미용효과를 극대화하기 위해서는 사용자의 두상에 대한 보정물을 통해서 헤어의 볼륨-업 효과를 지속시키는 방안에 대한 추가적인 대안이 필요하다.Therefore, there is a limit to sustaining the volume-up effect of the hair by the wig hair or the user's own hair. Therefore, in order to maximize the beauty effect of the user, the volume-up effect of the hair is maintained through the correction of the user's head. Additional alternatives are needed.
본 발명은 두상에 대한 황금비율에 따라 사용자의 두상이 성형되는 효과를 제공할 수 있는 두상 성형물을 제공하되, 사용자의 두상 타입에 따라 보다 용이하게 미용효과를 극대화시킬 수 있는 두상 성형물을 제공 가능한 두상 타입별 두상 성형물 제조 방법과 이를 제조하는 장치를 제공하는데 그 목적이 있다.The present invention provides a head-shaped molding that can provide the effect that the user's head is molded according to the golden ratio to the head, head head that can provide a head-shaped molding that can easily maximize the cosmetic effect according to the user's head type It is an object of the present invention to provide a method for manufacturing a head-shaped molding by type and an apparatus for manufacturing the same.
상기와 같은 목적을 달성하기 위하여, 본 발명의 일 실시 예에 따른 두상 타입별 두상성형물 제조 방법은 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하는 단계; 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터를 추출하는 단계; 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터로 형상화되는 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간의 측면 형상을 비교 분석하는 단계; 및 상기 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장해 두고, 상기 각 연령대별 두상 타입마다 상기 매칭하여 저장해 둔 비교 분석한 결과를 토대로 하여 두상 성형물을 제조하는 단계를 포함하고, 상기 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율 적용은, 코길이와 코뿌리코끝수직길이의 비율, 눈살귀구슬수평길이와 코길이의 비율, 코뿌리귀바퀴위뿌리수평길이와 코길이의 비율, 머리마루에서 오른쪽귀구슬점까지의 수직길이와 코뿌리귀바퀴위뿌리수평길이의 비율, 머리마루에서 왼쪽귀구슬점수직길이와 눈살귀구슬수평길이의 비율, 눈살귀구슬수평길이와 머리마루에서 왼쪽귀구슬점수직길이의 비율, 머리수직길이와 머리마루에서 오른쪽귀구슬점수직길이의 비율, 및 귀구슬사이머리마루길이와 머리수직길이의 비율 중 어느 하나 이상의 비율이 각각 상기 황금비율을 가지도록 적용할 수 있다.In order to achieve the above object, according to an embodiment of the present invention, a method for manufacturing a head shape for each head phase type divides a plurality of three-dimensional head image scan data for each age group, and the divided three-dimensional head image scan data for each age group. Classifying them according to the head type of each age group; Extracting scan data of a three-dimensional head image representative of each head type for each age group; Each of the three-dimensional head images generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group and the three-dimensional head image scan data extracted for each head type of each age group. Comparing and analyzing side shapes between three-dimensional representative head images for each head type according to age group; And storing the result of the comparative analysis by matching the head type according to the corresponding age group, and preparing the head shaped molding based on the result of the comparative analysis of the matching and storing the head type according to each age group. Applying the golden ratio of Fibonacci sequence to the scan data of three-dimensional heads, the ratio of nose length to nose root nose vertical length, the ratio of the horizontal length of the eye beads and the nose length, the ratio of the nose root root horizontal length to the nose length, The ratio of the vertical length from the floor to the right bead point and the horizontal length of the roots of the nose roots, the ratio of the length of the left bead point to the horizontal length of the bead, and the horizontal length of the bead to the left Ratio of the vertical length of the ear ball point, the ratio of the vertical length of the right ear ball point to the vertical length of the head, and the length of the vertical floor between the ear ball Any one or more of the ratio of the ratio can be applied to each of the golden ratio.
본 발명의 두상 타입별 두상성형물 제조 장치는 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하여 저장하는 두상 데이터 저장부; 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상을 선정하고, 3차원 두상의 스캔 데이터를 추출하는 스캔 데이터 추출부; 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 3차원 두상을 생성하고, 이를 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터와 비교 분석하는 분석부;를 포함하고, 상기 분석부를 통해 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장한 후, 상기 비교 분석한 결과를 토대로 두상 성형물을 제조하게 된다.The head shape manufacturing apparatus for each head type according to the present invention divides a plurality of three-dimensional head image scan data for each age group, and the head image data for storing the divided three-dimensional head image scan data for each age group according to the head type for each age group. Storage unit; A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image; The three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group. And an analysis unit; and compare and store the results of the comparative analysis through the analysis unit according to the head type for each age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
여기서, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들에 대한 각 연령대별 두상 타입에 따른 구분은, 상기 3차원 두상 스캔 데이터를 형성하는 두상 스캔 측정 항목별 데이터들에 대한 요인 분석(Factor Analysis)을 각 연령대마다 수행하고 각 연령대마다 상기 요인 분석을 통해 추출된 요인들을 이용한 군집 분석(Cluster Analysis)을 수행하거나, 머신러닝(machine learning)과 같은 인공지능기법을 적용하여 상기 각 연령대별 두상 타입에 따른 구분을 수행할 수 있다.Here, the classification according to the head type of each age group for the divided three-dimensional head scan data for each age group, the factor analysis of the data for each head scan measurement item forming the three-dimensional head scan data (Factor Analysis) Is performed for each age group and cluster analysis using the factors extracted through the factor analysis for each age group, or by applying artificial intelligence techniques such as machine learning to the head type of each age group. Can be divided accordingly.
또한, 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터 추출은, 상기 각 연령대별 두상 타입마다 그에 해당하는 3차원 두상 스캔 데이터들 중에서 그들의 평균에 해당하는 3차원 두상 스캔 데이터와 허용되는 차이값 범위 내의 값들을 가지는 3차원 두상 스캔 데이터를 그 대표되는 3차원 두상의 스캔 데이터로 추출할 수 있다.In addition, the scan data extraction of the three-dimensional head image represented for each head type for each age group, the three-dimensional head scan data corresponding to their average among the three-dimensional head scan data corresponding to each head type for each age group is allowed The three-dimensional head image scan data having values within the difference value range may be extracted as the representative three-dimensional head image scan data.
또한, 상기 측면 형상의 비교 분석은, 3차원 두상의 측면 형상과 관련된 비교 대상 항목들을 미리 정해 놓고, 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간에 상기 각 비교 대상 항목들에 해당하는 값들을 비교하여 수행할 수 있다.In addition, the comparative analysis of the lateral shape is a three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head type for each age group, with predetermined items to be compared related to the lateral shape of the three-dimensional head image in advance. The values corresponding to the respective comparison target items may be compared between the dimension representative two phases.
본 발명은 사용자의 두상이 성형되는 효과를 제공할 수 있는 두상 성형물을 제조함에 있어서, 최적의 황금비율을 가지는 두상으로 성형이 가능하다. The present invention can be molded into a head phase having an optimal golden ratio in producing a head phase molded article that can provide the effect that the user's head phase is molded.
또한, 본 발명은 각 인종별 여성의 두상을 대상으로 각 연령대별 두상 타입을 구분하고 그 두상 타입별로 서로 다르게 상기 두상 성형물이 제조되도록 함으로써, 특히나 미용에 관심이 많은 여성 사용자의 연령 및 두상 타입에 맞춤형으로 최적의 황금비율을 가지는 두상으로 성형이 가능한 두상 성형물을 제공해 줄 수 있다.In addition, the present invention is to classify the head type of each age group for the head of women of each race and to be manufactured differently for the head type differently for each head type, in particular to the age and head type of female users who are interested in beauty Custom-made head shape moldings can be provided that can be molded into two phases with optimal golden ratio.
그에 따라, 기존에 가발의 모발이나 사용자의 자모에 의해 헤어를 볼륨-업 시킴으로써 미용 효과를 받고자 하였던 것을 본 발명에 따라 제조된 두상 성형물을 통해 사용자의 연령 및 두상 타입에 맞추어 황금비율을 가지는 두상으로 성형이 되는 효과를 제공받음으로써 사용자는 자신의 아름다움을 극대화시킬 수 있게 된다. Accordingly, what was previously intended to receive a cosmetic effect by volume-up the hair by the hair of the wig or the user's own hair as a head having a golden ratio according to the age and head type of the user through the head-shaped molding manufactured according to the present invention. By being provided with the molding effect, the user can maximize his beauty.
도 1은 본 발명의 일 실시 예에 따른 두상 타입별 두상 성형물 제조 방법의 흐름도를 도시한 도면이다.1 is a flowchart illustrating a method of manufacturing a two-phase molded article for each type of head according to an embodiment of the present invention.
도 2는 본 발명에서 사용하는 3차원 두상 스캔 데이터를 구성하는 45개 측정 항목을 도시한 도면이다.FIG. 2 is a diagram showing 45 measurement items constituting three-dimensional head image scan data used in the present invention.
도 3 본 발명에 따라 각 연령대마다 구분된 4개의 두상 타입들의 특징들 도시한 도면이다.3 is a diagram illustrating features of four head types divided for each age group according to the present invention.
도 4는 두상 측면을 형상화하는데 필요한 주요 항목들을 도시한 도면이다.4 shows the main items necessary to shape the head side.
도 5a 내지 도 5d는 피보나치 수열의 황금비율을 두상의 측면에 대해 적용하는 방식을 도시한 도면이다.5A to 5D are diagrams showing a method of applying the golden ratio of Fibonacci sequence to the two phases.
도 6a 내지 도 6c는 본 발명에 따라 각 연령대별 두상 타입마다 황금비율이 적용된 두상과의 비교 분석한 결과의 일 예를 도시한 도면이다. 6A to 6C are diagrams showing an example of a result of a comparative analysis with a head to which a golden ratio is applied to each head type according to the age group according to the present invention.
본 발명의 두상 타입별 두상 성형물 제조 방법은 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하는 단계; 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터를 추출하는 단계; 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터로 형상화되는 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간의 측면 형상을 비교 분석하는 단계; 및 상기 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장해 두고, 상기 각 연령대별 두상 타입마다 상기 매칭하여 저장해 둔 비교 분석한 결과를 토대로 하여 두상 성형물을 제조하는 단계;를 포함하여 구성된다.The method for manufacturing a head shape molding for each head type according to the present invention comprises the steps of: classifying a plurality of three-dimensional head image scan data for each age group, and classifying the divided three-dimensional head image scan data for each age group according to each age group head type; Extracting scan data of a three-dimensional head image representative of each head type for each age group; Each of the three-dimensional head images generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group and the three-dimensional head image scan data extracted for each head type of each age group. Comparing and analyzing side shapes between three-dimensional representative head images for each head type according to age group; And storing the result of the comparative analysis by matching the head type for each age group, and preparing the head shaped molding based on the result of the comparison and storing the matching and storing the head type for each age group.
또한, 본 발명의 두상 타입별 두상 성형물 제조 장치는 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하여 저장하는 두상 데이터 저장부; 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상을 선정하고, 3차원 두상의 스캔 데이터를 추출하는 스캔 데이터 추출부; 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 3차원 두상을 생성하고, 이를 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터와 비교 분석하는 분석부;를 포함하고, 상기 분석부를 통해 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장한 후, 상기 비교 분석한 결과를 토대로 두상 성형물을 제조하게 된다.In addition, the head shape molding apparatus for each head type according to the present invention divides a plurality of three-dimensional head image scan data for each age group, and stores the divided three-dimensional head image scan data for each age group for each age group head type Head image data storage; A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image; The three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group. And an analysis unit; and compare and store the results of the comparative analysis through the analysis unit according to the head type for each age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
여기서, 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터 중 피보나치 수열의 황금비율이 적용되는 데이터는, 코길이와 코뿌리코끝수직길이의 비율, 눈살귀구슬수평길이와 코길이의 비율, 코뿌리귀바퀴위뿌리수평길이와 코길이의 비율, 머리마루에서 오른쪽귀구슬점까지의 수직길이와 코뿌리귀바퀴위뿌리수평길이의 비율, 머리마루에서 왼쪽귀구슬점수직길이와 눈살귀구슬수평길이의 비율, 눈살귀구슬수평길이와 머리마루에서 왼쪽귀구슬점수직길이의 비율, 머리수직길이와 머리마루에서 오른쪽귀구슬점수직길이의 비율, 및 귀구슬사이머리마루길이와 머리수직길이의 비율 중 어느 하나 이상인 것을 특징으로 한다.Here, the data to which the golden ratio of Fibonacci sequence is applied among the three-dimensional head image scan data extracted for each head type according to each age group is a ratio of nose length and nose root nose vertical length, eyeball bead horizontal length and nose length ratio. , Ratio of nose root ear root horizontal length to nose length, vertical length from head to right ear point and nose root ear root horizontal length, left ear ball vertical length and head band horizontal The ratio of length, the length of the eyeball horizontal length and the vertical length of the left ear bead on the ridge, the ratio of the vertical length of the head to the right ear, and the length of the head ridge and the length of the head It is characterized by any one or more of the ratio.
또한, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입으로 구분하는 것은, 상기 3차원 두상 스캔 데이터를 형성하는 두상 스캔 측정 항목별 데이터들에 대한 요인 분석(Factor Analysis)을 각 연령대마다 수행하고 각 연령대마다 상기 요인 분석을 통해 추출된 요인들을 이용한 군집 분석(Cluster Analysis)을 수행하거나, 머신러닝(machine learning)을 통해 이루어지는 것을 특징으로 한다.In addition, dividing the divided 3D head scan data for each age group into head head types for each age group may include factor analysis for data of head scan measurement items forming the 3D head scan data. It is characterized in that it is carried out for each age group and perform a cluster analysis (Cluster Analysis) using the factors extracted through the factor analysis for each age group, or through machine learning (machine learning).
또한, 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터 추출하는 것은, 상기 각 연령대별 두상 타입마다 그에 해당하는 3차원 두상 스캔 데이터들 중에서 그들의 평균에 해당하는 3차원 두상 스캔 데이터와 허용되는 차이값 범위 내의 값들을 가지는 3차원 두상 스캔 데이터를 그 대표되는 3차원 두상의 스캔 데이터로 추출하여 이루어지는 것을 특징으로 한다.In addition, extracting the scan data of the three-dimensional head image represented for each head type of each age group, the three-dimensional head scan data corresponding to their average among the three-dimensional head scan data corresponding to each head type of each age group and the allowable And extracting the three-dimensional head image scan data having values within the difference value range to be representative of the three-dimensional head image scan data.
또한, 상기 측면 형상의 비교 분석은, 3차원 두상의 측면 형상과 관련된 비교 대상 항목들을 미리 정해 놓고, 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간에 상기 각 비교 대상 항목들에 해당하는 값들을 비교하여 수행되는 것을 특징으로 한다.In addition, the comparative analysis of the lateral shape is a three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head type for each age group, with predetermined items to be compared related to the lateral shape of the three-dimensional head image in advance. It is performed by comparing the values corresponding to the respective items to be compared between the dimension representative two phases.
이하에서는 도면을 참조하여 본 발명을 보다 상세하게 설명한다. 도면들 중 동일한 구성요소들은 가능한 한 어느 곳에서든지 동일한 부호들로 나타내고 있음에 유의해야 한다. 또한 본 발명의 요지를 불필요하게 흐릴 수 있는 공지 기능 및 구성에 대한 상세한 설명은 생략한다.Hereinafter, with reference to the drawings will be described the present invention in more detail. It should be noted that the same elements in the figures are represented by the same numerals wherever possible. In addition, detailed descriptions of well-known functions and configurations that may unnecessarily obscure the subject matter of the present invention will be omitted.
도 1은 본 발명의 일 실시 예에 따른 두상 타입별 두상 성형물 제조 방법의 흐름도를 도시한 도면이고, 도 2는 본 발명에서 사용하는 3차원 두상 스캔 데이터를 구성하는 45개 측정 항목을 도시한 도면이고, 도 3 본 발명에 따라 각 연령대마다 구분된 4개의 두상 타입들의 특징들 도시한 도면이고, 도 4는 두상 측면을 형상화하는데 필요한 주요 항목들을 도시한 도면이고, 도 5a 내지 도 5d는 피보나치 수열의 황금비율을 두상의 측면에 대해 적용하는 방식을 도시한 도면이며, 도 6a 내지 도 6c는 본 발명에 따라 각 연령대별 두상 타입마다 황금비율이 적용된 두상과의 비교 분석한 결과의 일 예를 도시한 도면이다. FIG. 1 is a flowchart illustrating a method for manufacturing a head shape molding for each head type according to an embodiment of the present invention, and FIG. 2 is a view showing 45 measurement items constituting three-dimensional head image scan data used in the present invention. 3 is a view showing the characteristics of four head types divided for each age group according to the present invention, FIG. 4 is a view showing main items necessary for shaping the head side, and FIGS. 5A to 5D are Fibonacci sequences. Figure 6 is a view showing a method of applying the golden ratio of the side of the head, Figures 6a to 6c is an example of the result of the comparative analysis with the head with the golden ratio is applied to the head type of each age group according to the present invention One drawing.
본 발명에 따른 두상 성형물 제조 방법을 살펴보면, 우선 본 발명은 다수의 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분한다(S100).Looking at the method of manufacturing a head-shaped molding according to the present invention, firstly, the present invention classifies a plurality of three-dimensional head-scan data according to the head type for each age group (S100).
이때, 다수의 3차원 두상 스캔 데이터들에는 일 예로, 사이즈코리아 6차 인체측정 데이터들 중 609명 여성들의 3차원 두상 스캔 데이터들을 이용하였으며, 이 609명 여성들의 3차원 두상 스캔 데이터들을 대상으로 One-way ANOVA 분석을 통해 각 연령대별로 상기 3차원 두상 스캔 데이터들 구분하였다.In this case, for example, the three-dimensional head scan data of the 609 women among the size Korea 6th anthropometric data were used as a plurality of three-dimensional head scan data. One of the three-dimensional head scan data of the 609 women was used. The 3D head scan data were classified by age group through -way ANOVA analysis.
그리고, 각 연령대별로 구분된 상기 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하기 위한 일 실시 예로, 다음과 같은 요인 분석(Factor Analysis) 및 군집 분석(Cluster Analysis)을 실시하였다. In addition, the following three-dimensional head scan data classified for each age group is classified according to the head type for each age group. The following factor analysis and cluster analysis were performed.
도 2에 도시된 바와 같이, 상기 3차원 두상 스캔 데이터는 45개 두상 스캔 측정 항목들의 데이터들로 구성될 수 있으며, 본 발명에서는 이러한 45개 두상 스캔 측정 항목들의 데이터들에 대한 요인 분석(Factor Analysis)을 각 연령대별마다 수행하고 각 연령대별마다 상기 요인 분석을 통해 추출된 요인들을 이용한 군집 분석(Cluster Analysis)을 수행하여 상기 각 연령대별 두상 타입에 따른 구분을 수행하였다.As shown in FIG. 2, the three-dimensional head scan data may be composed of data of 45 head scan scan items, and in the present invention, factor analysis of data of the 45 head scan scan items may be performed. ) Was performed for each age group, and cluster analysis using the factors extracted through the factor analysis for each age group was performed to perform classification according to the head type of each age group.
여기서, 요인분석은 일련의 측정된 변수에 근거하여 직접 측정할 수 없는 요인을 확인하기 위한 것으로, 수많은 변수들을 적은 수의 몇 가지 요인으로 묶어줌으로써 그 내용을 단순화하기 위한 것이다. 다시 말해서, 요인분석은 다음과 같은 목적에서 사용될 수 있다. 첫째, 여러 개의 관련이 있는 변수들이 하나의 요인으로 묶여지므로 많은 변수들이 적은 수의 요인으로 줄어들게 된다. 둘째, 요인에 포함되지 않거나 포함되더라도 중요도가 낮은 변수를 찾을 수 있으므로 불필요한 변수를 제거할 수 있다. 셋째, 관련된 변수들이 묶여져 요인을 이루고 이들 요인들은 상호 독립적인 특성을 가지게 되므로 변수들의 특성을 규명할 수 있다. 넷째, 하나의 특성을 측정하기 위해 측정된 변수들은 하나의 요인으로 묶여 진다. 다섯째, 요인적재량을 바탕으로 추가적인 분석인 회귀분석, 판별분석, 군집분석에 사용할 수 있는 변수를 만들 수 있다.The factor analysis is to identify factors that cannot be measured directly based on a series of measured variables, and to simplify the contents by tying a large number of variables into a few factors. In other words, factor analysis can be used for the following purposes. First, many related variables are grouped into a single factor, so many variables are reduced to a small number of factors. Second, even if not included or included in the factor, it is possible to find a variable of low importance so that unnecessary variables can be removed. Third, related variables are tied together to form factors, and these factors have characteristics that are independent of each other. Fourth, the variables measured to measure one characteristic are grouped into one factor. Fifth, based on factor loadings, variables that can be used for additional analysis such as regression, discriminant analysis, and cluster analysis can be made.
본 발명은 상기와 같은 요인분석을 수행하여 다음 [표 1]과 같은 주요 4가지 요인을 도출해 내었다.In the present invention, the above-mentioned factor analysis was performed to derive four main factors as shown in the following [Table 1].
Factor 1- Length factorFactor 1- Length factor 머리마루_아래턱뼈수직길이, 머리마루_오른쪽귀구슬점수직길이, 머리마루_코밑수직길이, 머리마루눈살수직길이, etc.Head _ Lower jaw vertical length, Head _ Right ear bead vertical length, Head _ Vertical nose length, Crest vertical length, etc.
Factor 2- Head depth factorFactor 2- Head depth factor 코밑턱끝수직길이, 코끝뒤통수돌출수평길이, 턱끝뒤통수돌출수평길이, 코뿌리뒤통수돌출수평길이 etc.Nose chin tip vertical length, nose tip back head horizontal length, chin tip back head horizontal length, nose root back head horizontal length etc.
Factor 3- Width factorFactor 3- Width factor 눈살귀구슬수평길이, 코뿌리뒤통수돌출수평길이, 눈초리귀구슬수평길이, 귀구슬입술직선길이 etc.Eye bead horizontal length, nose root back head horizontal length, eye ear bead horizontal length, ear ball lip straight etc.
Factor 4- Face factorFactor 4- Face factor 귀구슬사이턱끝(호)길이, 귀구슬사이코밑(호)길이, 귀구슬사이너비 etc.Ear bead thigh length, ear bead length, ear bead sign width etc.
그리고, 상기 요인 분석을 통해 도출된 주요 4가지 요인에 근거하여 상기 각 연령대별 3차원 두상 스캔 데이터들에 대해서 군집 분석을 수행하였다.Then, cluster analysis was performed on the three-dimensional head scan data of each age group based on the four main factors derived through the factor analysis.
군집분석은 각 객체의 유사성을 측정하여 유사성이 높은 대상 집단을 분류하고, 같은 군집에 속한 대상들의 유사성과 서로 다른 군집에 속한 대상간의 상이성을 규명하는 통계적 분석방법으로 대상을 분류하기 위한 명확한 기준이 존재하지 않거나 기준이 밝혀지지 않은 상태에서 다양한 특성을 지닌 대상들을 군집으로 분류하는 데 사용되는 기법이다. 그리고, 군집분석은 객체의 특성을 토대로 유사한 대상들끼리 그룹핑하는 다변량 통계기법으로, 군집분석에 의해 두 개 이상의 그룹이 형성되며 각 그룹을 군집(Cluster)이라 부른다. 군집분석의 핵심은 군집 내 객체들을 가급적 유사하게 그리고 군집들 간에는 가급적 상이하게 대상들을 그룹핑하는데 있다.Cluster analysis classifies subjects with high similarity by measuring similarity of each object, and it is a clear standard for classifying subjects by statistical analysis method that identifies similarity between objects belonging to the same cluster and objects belonging to different clusters. This is a technique used to classify objects with various characteristics into groups in the nonexistent or unknown criteria. Cluster analysis is a multivariate statistical technique that groups similar objects based on the characteristics of an object. Two or more groups are formed by cluster analysis, and each group is called a cluster. The key to cluster analysis is to group objects in clusters as similarly as possible and as differently as possible between clusters.
본 발명에서는 각 연령대별로 여성의 3차원 두상 스캔 데이터들에 대해서 상기의 군집 분석을 수행한 결과, 각 연령대마다 4개의 두상 타입으로 데이터들이 구분되었다. In the present invention, as a result of performing the cluster analysis on the three-dimensional head scan data of women for each age group, the data were divided into four head types for each age group.
그 각 연령대마다 구분된 4개의 두상 타입들의 특징들은 도 3에 도시되어 있는 바와 같으며, 40대 연령대에서의 두상 타입들 각각의 특징을 살펴보면, 40대 연령의 두상 타입 Ⅰ의 경우에는 귀구슬-뒤통수 돌출 수평길이가 긴 편이라는 특징으로 가지고 있고, 두상 타입 Ⅱ는 귀구슬-뒤통수 돌출 수평길이와 머리수직길이가 짧은 편임을, 두상 타입 Ⅲ는 머리수직길이가 긴 편임을, 그리고 두상 타입 Ⅳ는 눈살-귀구슬 수평길이가 긴 편임을 알 수 있다. 그리고, 도 3에 도시되어 있는 바와 같이, 각 연령대별마다 각 두상 타입의 특징들은 서로 다르게 나타나는 것 역시 알 수 있다.The characteristics of the four head types divided by each age group are shown in FIG. 3. Looking at the characteristics of each of the head types in the 40s age group, in the case of the head type I of the 40s age, The horizontal length of the posterior head protrusion is long, and the two-phase type II has the short horizontal length and the vertical head length of the ear ball. The two-phase type III has the long vertical length, and the two-phase type IV has the long length. It can be seen that the horizontal length of the eye-earrings is long. And, as shown in Figure 3, it can also be seen that the characteristics of each head type for each age group appear different.
본 발명에서 위의 요인 분석 및 군집 분석은 일 실시 예로, 데이터 관리 및 통계분석을 위해 개발된 SPSS(statistical Package for the Social Sciences)를 통해 수행할 수 있으며, 머신러닝(machine learning)과 같은 인공지능기법도 적용 가능하다.In the present invention, the above factor analysis and cluster analysis may be performed through, for example, a statistical package for the social sciences (SPSS) developed for data management and statistical analysis, and artificial intelligence such as machine learning. The technique is also applicable.
그리고, 본 발명은 도 3에 도시된 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터를 추출한다(S110). In addition, the present invention extracts the scan data of the three-dimensional head image represented for each head type of each age group shown in Figure 3 (S110).
이때 상기 추출은 일 예로 각각의 두상 타입에 속하는 3차원 두상 스캔 데이터들 중에서 그들 간의 표준 두상에 가장 근접한 3차원 두상의 스캔 데이터를 그 두상 타입에 대표되는 3차원 두상의 스캔 데이터로 추출할 수 있다. 그에 따라, 각 연령대별 두상 타입마다 그에 해당하는 3차원 두상 스캔 데이터들 중에서 그들의 평균에 해당하는 3차원 두상 스캔 데이터와 기 설정해 놓은 허용 차이값 범위 내의 값들을 가지는 하나의 3차원 두상 스캔 데이터를 그 대표되는 3차원 두상의 스캔 데이터로 추출할 수 있을 것이다.At this time, the extraction may extract, as an example, the scan data of the three-dimensional head image closest to the standard head image among the three-dimensional head image scan data belonging to each head type as the three-dimensional head image scan data represented by the head phase type. . Accordingly, among the three-dimensional head scan data corresponding to each age group, one three-dimensional head scan data having three-dimensional head scan data corresponding to their average and values within a preset allowable difference value range is selected. The scan data may be extracted as a representative three-dimensional head image.
본 발명은 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터를 추출한 이후에, 그 추출된 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터들로 형상화되는 각 연령대별 두상 타입마다의 3차원 대표 두상들을 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 서로 비교 분석한다(S120). 특히, 상기 각 연령대별 두상 타입마다의 3차원 대표 두상과 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상 간의 측면 형상을 비교 분석한다(S120).The present invention extracts three-dimensional head images representative of each head type for each age group, and then extracts three-dimensional head images of each head group type for each age group. The three-dimensional representative heads are compared with the three-dimensional heads generated by applying the golden ratio of Fibonacci sequence (S120). In particular, the side shape between the three-dimensional representative head image for each head type for each age group and the three-dimensional head image generated by applying the golden ratio of the Fibonacci sequence (S120).
피보나치 수열은 이탈리아의 수학자인 레오나르도 피보나치에 의해 만들어진 수열로서 첫 번째와 두 번째 항을 1로 시작해서, 최후의 두 항을 더해 다음 항의 값으로 전개해 가는 수열을 말한다.The Fibonacci sequence, created by Italian mathematician Leonardo Fibonacci, is a sequence that starts with the first and second terms starting with 1, and adds the last two terms to the next term.
이를 수학식으로 표현하면 다음과 같다.This is expressed as an equation.
Figure PCTKR2017000919-appb-I000001
Figure PCTKR2017000919-appb-I000001
Figure PCTKR2017000919-appb-I000002
Figure PCTKR2017000919-appb-I000002
이 수열의 특징을 살펴보면,If you look at the characteristics of this sequence,
첫 번째와 두 번째 항의 비는 1/1=1The ratio of the first and second term is 1/1 = 1
두 번째와 세 번째 항의 비는 1/2=0.5The ratio of the second and third terms is 1/2 = 0.5
세 번째와 네 번째 항의 비는 2/3=0.667로서,The ratio of the third and fourth terms is 2/3 = 0.667
이런 식으로 뒤로 무한대로 가게 되면, 이 비율이
Figure PCTKR2017000919-appb-I000003
으로 수렴하게 된다.
If you go back to infinity like this, this ratio
Figure PCTKR2017000919-appb-I000003
To converge.
이 값을 황금비율(GR)이라 하며, 수학식으로 나타내면,
Figure PCTKR2017000919-appb-I000004
으로서 극한의 개념을 통해 황금비율을 구할 수 있게 된다.
This value is called the golden ratio (GR).
Figure PCTKR2017000919-appb-I000004
As a result, the golden ratio can be obtained through the concept of extremes.
여기서 수렴값 0.61803의 역수는,
Figure PCTKR2017000919-appb-I000005
으로서 정확히 1의 차이가 있게 되는데, 이는 각 항들의 역수의 비가 1.61803에 수렴한다는 것으로서, 바로 1:0.61803, 또는 0.61803:1의 비율이 황금비율이 되는 것이다.
Where the inverse of the convergence value 0.61803 is
Figure PCTKR2017000919-appb-I000005
As a result, there is an exact difference of 1, in which the inverse ratio of each term converges to 1.61803, where the ratio of 1: 0.61803, or 0.61803: 1, becomes the golden ratio.
상기 피보나치 수열을 이용하여 황금비율 직사각형 및 곡선을 그릴 수 있게 되는데, 한 변의 길이가 피보나치 수열의 각 항으로 이루어진 정사각형을 계속해서 인접하여 그리게 되면, 1:0.61803, 또는 0.61803:1의 종횡비를 갖는 황금비율 직사각형이 그려지게 되고, 또한 각 정사각형에 꼭 맞는 호를 연결해서 그리면 일정 형태를 갖는 곡선이 그려지게 되어, 실제 암모나이트 껍데기의 곡선이 위와 같은 황금비율로 형성된다.By using the Fibonacci sequence, it is possible to draw a golden ratio rectangle and a curve. When the length of one side continues to draw a square composed of each term of the Fibonacci sequence, it has a golden ratio having an aspect ratio of 1: 0.61803, or 0.61803: 1. A ratio rectangle is drawn, and a curve having a certain shape is drawn by connecting arcs that fit each square, and the actual ammonite shell curve is formed at the golden ratio as shown above.
본 발명은 위와 같은 피보나치 수열의 황금비율을 3차원 두상을 형상화하는데 필요한 각 구간마다의 길이값 생성에 적용하여, 황금비율을 가지는 3차원 두상에 대한 데이터를 생성하게 된다.The present invention applies the above-described golden ratio of Fibonacci sequence to the generation of the length value for each section necessary to shape the three-dimensional head, thereby generating data for the three-dimensional head having the golden ratio.
도 4는 앞서 도 2에서 살펴본 3차원 두상 스캔 데이터의 45개 두상 스캔 측정 항목들 중에서 특히나 3차원 두상의 측면을 형상화하는데 필요한 주요 항목들을 도식화하여 표시해 둔 것이며, 본 발명은 도 4에 표시된 각 항목들을 포함한 3차원 두상의 각 구간에 대한 길이값을 생성할 때에 도 5a 내지 도 5d에 도시된 예들과 같이 피보나치 수열의 황금비율을 적용하여 생성하는 것을 특징으로 한다.FIG. 4 is a schematic diagram of main items necessary for shaping the three-dimensional head image from among 45 head scan measurement items of the three-dimensional head scan data described with reference to FIG. 2, and the present invention shows each item shown in FIG. 4. When generating the length value for each section of the three-dimensional head image including the three-dimensional head image, it is generated by applying the golden ratio of the Fibonacci sequence as shown in the examples shown in Figs.
그리고, 본 발명은 도 5a 내지 도 5d에 도시된 바와 같이 상기 피보나치 수열의 황금비율을 적용하여 3차원 두상의 각 구간에 대한 길이값들을 생성하고 이를 통해 형상화한 3차원 두상을 기준으로 상기 각 연령대별 두상 타입마다의 3차원 대표 두상과 그 측면 형상에 대해서 비교 분석을 수행한다. In addition, the present invention generates length values for each section of the three-dimensional head by applying the golden ratio of the Fibonacci sequence as shown in FIGS. A comparative analysis is performed on the three-dimensional representative head image and its side shape for each head type.
이때, 상기 비교 분석은, 일 실시 예로 3차원 두상의 측면 형상과 관련된 비교 대상 항목들을 미리 정해 놓고, 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간에 상기 각 비교 대상 항목들에 해당하는 값들을 서로 비교하여 수행할 수 있다. In this case, the comparative analysis, in accordance with an embodiment of the three-dimensional head image generated by applying the golden ratio of the Fibonacci sequence, the predetermined target items related to the side shape of the three-dimensional head image in advance and 3 for each head type of each age group The values corresponding to the items to be compared may be compared with each other between the dimension representative two phases.
도 6a 내지 도 6c는 각 연령대별 두상 타입마다 그 비교 분석한 결과의 일 예를 도시한 것으로, 도 6a 내지 도 6c에 도시된 비교 대상 항목들에는 머리둘레, 눈살머리마루뒤통수(호)길이, 귀구슬사이머리마루(호)길이, 머리마루_왼쪽귀구슬점수직길이, 왼쪽눈초리뒤통수돌출수평길이, 귀구슬사이너비가 이에 해당한다.6A to 6C illustrate an example of a result of a comparative analysis for each head type of each age group. The comparison target items shown in FIGS. 6A to 6C include a head circumference, a brow length, and a head length. The head length of the ear beads (ho), the head _ left ear ball point vertical length, the horizontal length of the back of the head of the left eye, and the ear width sign width.
그리고, 도 6a 내지 도 6c에 도시된 바와 같이 각 비교 대상 항목들에 해당하는 값들에 있어서, 그 차이값을 비교 분석한 결과 데이터로 도출할 수 있다.As shown in FIGS. 6A to 6C, the difference values may be derived as a result of the comparative analysis of the values corresponding to each comparison target item.
본 발명은 각 연령대별 두상 타입마다 그 비교 분석한 결과를 매칭하여 저장해 두고, 각 연령대별 두상 타입별로 상기 매칭하여 저장해 둔 비교 분석한 결과를 토대로 하여 두상 성형물을 제조한다(S130).The present invention matches and stores the result of the comparative analysis for each head type by age group, and prepares a head-shaped molding based on the result of the comparative analysis stored by matching the head type for each age group (S130).
위와 같이 본 발명은 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상 간에 측면 형상을 비교 분석한 결과를 토대로 두상 성형물을 제조하게 되는데, 이것은 일반적으로 여성 사용자들이 헤어를 볼륨-업 시키고자 하는 두상 부위를 반영시키고자 하는 것으로, 사용자의 두상 측면 상에서 최적의 황금비율에 따라 두상이 성형되는 효과를 제공할 수 있는 두상 성형물을 제공 가능하게 해 준다. As described above, the present invention prepares a head-shaped molding based on a result of comparing and analyzing the lateral shape between the three-dimensional head generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional head represented by the head type for each age group. In general, women users want to reflect the head area to volume-up the hair, and it is possible to provide a head-shaped molding that can provide the effect of the head is molded according to the optimal golden ratio on the head side of the user. give.
또한, 본 발명은 인종별 여성의 두상을 대상으로 각 연령대별 두상 타입을 구분하고 그 두상 타입별로 서로 다르게 상기 두상 성형물이 제조되도록 함으로써, 특히나 미용에 관심이 많은 여성 사용자의 연령 및 두상 타입에 맞춤형으로 최적의 황금비율을 가지는 두상으로 성형이 가능한 두상 성형물을 제공해 줄 수 있다.In addition, the present invention distinguishes the head type of each age group with respect to the head of the race women by different ages and to make the head molded product differently for each head type, particularly tailored to the age and head type of female users who are interested in beauty It can provide a head-shaped molding that can be molded into a head phase having an optimal golden ratio.
그에 따라, 기존에 가발의 모발이나 사용자의 자모에 의해 헤어를 볼륨-업 시킴으로써 미용 효과를 받고자 하였던 것을 본 발명에 따라 제조된 두상 성형물을 통해 사용자의 연령 및 두상 타입에 맞추어 황금비율을 가지는 두상으로 성형이 되는 효과를 제공받음으로써 사용자는 자신의 아름다움을 극대화시킬 수 있을 것이다. Accordingly, what was previously intended to receive a cosmetic effect by volume-up the hair by the hair of the wig or the user's own hair as a head having a golden ratio according to the age and head type of the user through the head-shaped molding manufactured according to the present invention. By being provided with the effect of molding, the user will be able to maximize his beauty.
본 발명에 따른 두상 성형물 제조 방법에서 상기 S100 내지 S120 단계는 컴퓨터를 포함하는 연산처리수단에 의해서 실행되는 통계분석 프로그램에 의해서 수행되고, 상기 S130 단계는 상기 S100 내지 S120 단계를 수행하여 획득한 결과를 토대로 두상 성형물을 제조할 수 있는 장치 내 제어 수단에 의해서 수행될 수 있다.In the method of manufacturing a head-shaped molding according to the present invention, the steps S100 to S120 are performed by a statistical analysis program executed by an arithmetic processing means including a computer, and the step S130 is performed by performing the steps S100 to S120. It can be carried out by means of control in the apparatus which can produce the head-shaped moldings on the basis.
본 발명의 두상 타입별 두상성형물 제조 장치는 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하여 저장하는 두상 데이터 저장부; 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상을 선정하고, 3차원 두상의 스캔 데이터를 추출하는 스캔 데이터 추출부; 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 3차원 두상을 생성하고, 이를 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터와 비교 분석하는 분석부;를 포함하고, 상기 분석부를 통해 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장한 후, 상기 비교 분석한 결과를 토대로 두상 성형물을 제조할 수 있다.The head shape manufacturing apparatus for each head type according to the present invention divides a plurality of three-dimensional head image scan data for each age group, and the head image data for storing the divided three-dimensional head image scan data for each age group according to the head type for each age group. Storage unit; A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image; The three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group. And an analysis unit; and compare and store the result of the comparative analysis through the analysis unit according to the head type according to the corresponding age group, and then prepare the head-shaped molding based on the result of the comparative analysis.
본 발명은 비록 한정된 실시예와 도면에 의해 설명되었으나, 본 발명은 상기의 실시 예에 한정되는 것은 아니며, 이는 본 발명이 속하는 분야에서 통상의 지식을 가진 자라면 이러한 기재로부터 다양한 수정 및 변형이 가능하다. 따라서, 본 발명 사상은 아래에 기재된 특허청구범위에 의해서만 파악되어야 하고, 이의 균등 또는 등가적 변형 모두는 본 발명 사상의 범주에 속한다고 할 것이다.Although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited to the above embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Do. Accordingly, the spirit of the present invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications thereof will belong to the scope of the present invention.
본 발명의 두상 타입별 두상 성형물 제조 방법 및 제조 장치는 헤어 미용산업에 이용이 가능하다.Head phase molding method and manufacturing apparatus for each head type of the present invention can be used in the hair beauty industry.

Claims (10)

  1. 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하는 단계; Dividing a plurality of three-dimensional head image scan data for each age group, and classifying the divided three-dimensional head image scan data for each age group according to each age group head type;
    상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터를 추출하는 단계;Extracting scan data of a three-dimensional head image representative of each head type for each age group;
    상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터로 형상화되는 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간의 측면 형상을 비교 분석하는 단계; 및Each of the three-dimensional head images generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group and the three-dimensional head image scan data extracted for each head type of each age group. Comparing and analyzing side shapes between three-dimensional representative head images for each head type according to age group; And
    상기 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장해 두고, 상기 각 연령대별 두상 타입마다 상기 매칭하여 저장해 둔 비교 분석한 결과를 토대로 하여 두상 성형물을 제조하는 단계;를 포함하는,And storing the result of the comparative analysis by matching the head type of each age group, and preparing the head shaped molding based on the result of the comparative analysis of the matching and storing the head type of each age group.
    두상 타입별 두상 성형물 제조 방법.A method for producing a two-phase molded article for each type of head.
  2. 제1 항에 있어서,According to claim 1,
    상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터 중 피보나치 수열의 황금비율이 적용되는 데이터는, The data to which the golden ratio of Fibonacci sequence is applied among the three-dimensional head image scan data extracted for each head type for each age group,
    코길이와 코뿌리코끝수직길이의 비율, 눈살귀구슬수평길이와 코길이의 비율, 코뿌리귀바퀴위뿌리수평길이와 코길이의 비율, 머리마루에서 오른쪽귀구슬점까지의 수직길이와 코뿌리귀바퀴위뿌리수평길이의 비율, 머리마루에서 왼쪽귀구슬점수직길이와 눈살귀구슬수평길이의 비율, 눈살귀구슬수평길이와 머리마루에서 왼쪽귀구슬점수직길이의 비율, 머리수직길이와 머리마루에서 오른쪽귀구슬점수직길이의 비율, 및 귀구슬사이머리마루길이와 머리수직길이의 비율 중 어느 하나 이상인 것을 특징으로 하는, 두상 타입별 두상 성형물 제조 방법.Nose length and nose root nose length ratio, eye bead horizontal length and nose length ratio, nose root ear wheel horizontal root and nose length ratio, vertical length from head to right ear point and nose root ear wheel The ratio of the upper root horizontal length, the ratio of the vertical length of the left bead to the eyebrows to the horizontal length of the eye beads, the ratio of the horizontal length of the eyelet beads to the vertical length of the eye beads, from the vertical length of the head, to the vertical length of the head A method for producing a head-shaped molded article for each type of head, characterized in that at least one of the ratio of the right ear bead point vertical length, and the ratio of the head bead length and the head vertical length.
  3. 제1 항에 있어서,According to claim 1,
    상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입으로 구분하는 것은,The three-dimensional head image scan data of each age group divided into head type of each age group is
    상기 3차원 두상 스캔 데이터를 형성하는 두상 스캔 측정 항목별 데이터들에 대한 요인 분석(Factor Analysis)을 각 연령대마다 수행하고 각 연령대마다 상기 요인 분석을 통해 추출된 요인들을 이용한 군집 분석(Cluster Analysis)을 수행하거나, 머신러닝(machine learning)을 통해 이루어지는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 방법.A factor analysis is performed for each age group and the cluster analysis using the factors extracted through the factor analysis for each age group forming the three-dimensional head scan data. A method for manufacturing head phase moldings for each type of head, characterized in that performed or machine learning.
  4. 제1 항에 있어서,According to claim 1,
    상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터 추출하는 것은,Extracting the scan data of the three-dimensional head image represented for each head type for each age group,
    상기 각 연령대별 두상 타입마다 그에 해당하는 3차원 두상 스캔 데이터들 중에서 그들의 평균에 해당하는 3차원 두상 스캔 데이터와 허용되는 차이값 범위 내의 값들을 가지는 3차원 두상 스캔 데이터를 그 대표되는 3차원 두상의 스캔 데이터로 추출하여 이루어지는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 방법.The three-dimensional head scan data representing the three-dimensional head scan data having values within the allowable difference value range and the three-dimensional head scan data corresponding to their average among the three-dimensional head scan data corresponding to each age group head type A method for manufacturing a head phase molded article for each head phase type, characterized in that the extraction is performed by scanning data.
  5. 제1 항에 있어서,According to claim 1,
    상기 측면 형상의 비교 분석은,Comparative analysis of the side shape,
    3차원 두상의 측면 형상과 관련된 비교 대상 항목들을 미리 정해 놓고, 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간에 상기 각 비교 대상 항목들에 해당하는 값들을 비교하여 수행되는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 방법.The items to be compared between the three-dimensional heads generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional representative head images for each age group, with predetermined comparison items related to the side shapes of the three-dimensional head images. The method for producing a two-phase molded article according to the type of two phases, characterized in that performed by comparing the values corresponding to.
  6. 다수의 3차원 두상 스캔 데이터들을 각 연령대별로 구분하고, 상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입에 따라 구분하여 저장하는 두상 데이터 저장부;A head image data storage unit for classifying a plurality of three-dimensional head image scan data for each age group, and storing the divided three-dimensional head image scan data for each age group according to head type of each age group;
    상기 각 연령대별 두상 타입마다 대표되는 3차원 두상을 선정하고, 3차원 두상의 스캔 데이터를 추출하는 스캔 데이터 추출부;A scan data extraction unit for selecting a three-dimensional head image representative for each head type for each age group and extracting scan data of the three-dimensional head image;
    상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터에 피보나치 수열의 황금비율을 적용하여 3차원 두상을 생성하고, 이를 상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터와 비교 분석하는 분석부;를 포함하고, The three-dimensional head image is generated by applying the golden ratio of Fibonacci sequence to the three-dimensional head image scan data extracted for each head type of each age group, and compares it with the scan data represented by the three-dimensional head image for each head type of each age group. To include; Analysis unit;
    상기 분석부를 통해 비교 분석한 결과를 해당 연령대별 두상 타입에 매칭하여 저장한 후, 상기 비교 분석한 결과를 토대로 두상 성형물을 제조하는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 장치.After comparing and analyzing the results of the comparative analysis through the analysis unit corresponding to the head type according to the age group, after the head of the head type molding apparatus for manufacturing the head type according to the comparative analysis results.
  7. 제6 항에 있어서,The method of claim 6,
    상기 각 연령대별 두상 타입마다 추출된 3차원 두상의 스캔 데이터 중 피보나치 수열의 황금비율이 적용되는 데이터는, The data to which the golden ratio of Fibonacci sequence is applied among the three-dimensional head image scan data extracted for each head type for each age group,
    코길이와 코뿌리코끝수직길이의 비율, 눈살귀구슬수평길이와 코길이의 비율, 코뿌리귀바퀴위뿌리수평길이와 코길이의 비율, 머리마루에서 오른쪽귀구슬점까지의 수직길이와 코뿌리귀바퀴위뿌리수평길이의 비율, 머리마루에서 왼쪽귀구슬점수직길이와 눈살귀구슬수평길이의 비율, 눈살귀구슬수평길이와 머리마루에서 왼쪽귀구슬점수직길이의 비율, 머리수직길이와 머리마루에서 오른쪽귀구슬점수직길이의 비율, 및 귀구슬사이머리마루길이와 머리수직길이의 비율 중 어느 하나 이상인 것을 특징으로 하는, 두상 타입별 두상 성형물 제조 장치.Nose length and nose root nose length ratio, eye bead horizontal length and nose length ratio, nose root ear wheel horizontal root and nose length ratio, vertical length from head to right ear point and nose root ear wheel The ratio of the upper root horizontal length, the ratio of the vertical length of the left bead to the eyebrows to the horizontal length of the eye beads, the ratio of the horizontal length of the eyelet beads to the vertical length of the eye beads, from the vertical length of the head, to the vertical length of the head A head shape molding apparatus for each head type, characterized in that at least one of the ratio of the right ear bead point vertical length, and the ratio of the head bead length and the head vertical length.
  8. 제6 항에 있어서,The method of claim 6,
    상기 구분된 각 연령대별 3차원 두상 스캔 데이터들을 각 연령대별 두상 타입으로 구분하는 것은,The three-dimensional head image scan data of each age group divided into head type of each age group is
    상기 3차원 두상 스캔 데이터를 형성하는 두상 스캔 측정 항목별 데이터들에 대한 요인 분석(Factor Analysis)을 각 연령대마다 수행하고 각 연령대마다 상기 요인 분석을 통해 추출된 요인들을 이용한 군집 분석(Cluster Analysis)을 수행하거나, 머신러닝(machine learning)을 통해 이루어지는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 장치.A factor analysis is performed for each age group and the cluster analysis using the factors extracted through the factor analysis for each age group forming the three-dimensional head scan data. The apparatus for manufacturing head phase moldings for each type of head, characterized in that performed or machine learning.
  9. 제6 항에 있어서,The method of claim 6,
    상기 각 연령대별 두상 타입마다 대표되는 3차원 두상의 스캔 데이터 추출하는 것은,Extracting the scan data of the three-dimensional head image represented for each head type for each age group,
    상기 각 연령대별 두상 타입마다 그에 해당하는 3차원 두상 스캔 데이터들 중에서 그들의 평균에 해당하는 3차원 두상 스캔 데이터와 허용되는 차이값 범위 내의 값들을 가지는 3차원 두상 스캔 데이터를 그 대표되는 3차원 두상의 스캔 데이터로 추출하여 이루어지는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 장치.The three-dimensional head scan data representing the three-dimensional head scan data having values within the allowable difference value range and the three-dimensional head scan data corresponding to their average among the three-dimensional head scan data corresponding to each age group head type Head phase molding apparatus for each head phase type characterized in that the extraction by scanning data.
  10. 제6 항에 있어서,The method of claim 6,
    상기 측면 형상의 비교 분석은,Comparative analysis of the side shape,
    3차원 두상의 측면 형상과 관련된 비교 대상 항목들을 미리 정해 놓고, 상기 피보나치 수열의 황금비율을 적용하여 생성시킨 3차원 두상과 상기 각 연령대별 두상 타입마다의 3차원 대표 두상 간에 상기 각 비교 대상 항목들에 해당하는 값들을 비교하여 수행되는 것을 특징으로 하는 두상 타입별 두상 성형물 제조 장치.The items to be compared between the three-dimensional heads generated by applying the golden ratio of the Fibonacci sequence and the three-dimensional representative head images for each age group, with predetermined comparison items related to the side shapes of the three-dimensional head images. Apparatus for producing a two-phase molding according to the two-phase type, characterized in that performed by comparing the values corresponding to the.
PCT/KR2017/000919 2016-01-25 2017-01-25 Method and device for manufacturing head molded article according to head type WO2017131453A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2016-0008715 2016-01-25
KR1020160008715A KR101731799B1 (en) 2016-01-25 2016-01-25 Manufacturing method of head article for each korean head types

Publications (1)

Publication Number Publication Date
WO2017131453A1 true WO2017131453A1 (en) 2017-08-03

Family

ID=58743179

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2017/000919 WO2017131453A1 (en) 2016-01-25 2017-01-25 Method and device for manufacturing head molded article according to head type

Country Status (2)

Country Link
KR (1) KR101731799B1 (en)
WO (1) WO2017131453A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010088702A (en) * 2001-08-22 2001-09-28 김지신 System and method of making 3D body model
JP2005139593A (en) * 2003-11-10 2005-06-02 Mic:Kk Method for producing mask and method for producing mold
KR20090056243A (en) * 2007-11-30 2009-06-03 홍정우 Method and apparatus for generating three dimension model
US20120102621A1 (en) * 2010-10-27 2012-05-03 Luis Joaquin Rodriguez Printable facial mask and printable facial mask system with enhanced peripheral visibility
KR101495810B1 (en) * 2013-11-08 2015-02-25 오숙완 Apparatus and method for generating 3D data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20010088702A (en) * 2001-08-22 2001-09-28 김지신 System and method of making 3D body model
JP2005139593A (en) * 2003-11-10 2005-06-02 Mic:Kk Method for producing mask and method for producing mold
KR20090056243A (en) * 2007-11-30 2009-06-03 홍정우 Method and apparatus for generating three dimension model
US20120102621A1 (en) * 2010-10-27 2012-05-03 Luis Joaquin Rodriguez Printable facial mask and printable facial mask system with enhanced peripheral visibility
KR101495810B1 (en) * 2013-11-08 2015-02-25 오숙완 Apparatus and method for generating 3D data

Also Published As

Publication number Publication date
KR101731799B1 (en) 2017-05-04

Similar Documents

Publication Publication Date Title
CN103914699B (en) A kind of method of the image enhaucament of the automatic lip gloss based on color space
JP6891351B2 (en) How to generate a human hairstyle based on multi-feature search and deformation
CN104992402B (en) A kind of U.S. face processing method and processing device
CN105678232B (en) A kind of face picture feature extraction and control methods based on deep learning
WO2019100282A1 (en) Face skin color recognition method, device and intelligent terminal
JP6128309B2 (en) Makeup support device, makeup support method, and makeup support program
EP3201826B1 (en) Method and data-processing device for computer-assisted hair colouring guidance
CN105787974B (en) Bionic human face aging model method for building up
CN105069180A (en) Hair style design method and system
CN108629339A (en) Image processing method and related product
CN107832740A (en) The Method of Teaching Quality Evaluation and system of a kind of remote teaching
CN107993280A (en) Beauty method and system based on threedimensional model
US20180033174A1 (en) Information processing apparatus, information processing method, and program
CN108846869A (en) A kind of clothes Automatic color matching method based on natural image color
CN110059593A (en) A kind of human facial expression recognition method based on feedback convolutional neural networks
Khan et al. Segmentation of acne lesion using fuzzy C-means technique with intelligent selection of the desired cluster
WO2017131453A1 (en) Method and device for manufacturing head molded article according to head type
CN113344837B (en) Face image processing method and device, computer readable storage medium and terminal
JP2008276405A (en) Composition method and composition device for face image
CN112581564B (en) Image generation method and device, electronic equipment and storage medium
CN109448093A (en) A kind of style image generation method and device
KR20190074955A (en) Method and system for facial features analysis and delivery of personalized advice
CN107895154A (en) The forming method and system of facial expression strength model
Youlian et al. Face detection method using template feature and skin color feature in rgb color space
CN110458751A (en) A kind of face replacement method, equipment and medium based on Guangdong opera picture

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17744574

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17744574

Country of ref document: EP

Kind code of ref document: A1