• Fibers and Polymers
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• 제5권1호
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• pp.12-18
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• 2004

A parametric body model generation system has been developed. Using various mathematic and geometric algorithms of this system, a three-dimensionally scanned human body can be converted into a resizable body model. Once a parametric body model is formed, its size and shape can be modified instantaneously by providing appropriate anthropometric data. To facilitate the subsequent pattern arrangement process for garment drape simulation, a bounding box generation algorithm has been developed in this study. Also the model can be converted into a set of parametric surfaces that it can also be used for three-dimensional garment pattern design system.

• 복식문화연구
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• 제14권1호
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• pp.40-47
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• 2006

Three-dimensional body scanners were used for years in the clothing manufacturing fields. The 3D body surface provide essential data to draft patterns for mass customization, virtual fit model, and computerized patternmaking systems. This research proposed the methods of drafting patterns for men's jacket by using three dimensional body scan data. Eight male subjects were scanned, the surface data was flattened. The differentials of the flattened body surface and the jacket draft were measured, and analyzed the regressions. To verify the fit of the patterns, the jacket was constructed by the regression formulae and tested by experts. The fit of the jacket were significantly improved rather than a ready-made suit especially the shoulder areas. This means that the methods that we proposed were good to improve the fit of the garments and could be used effectively to implement mass customization strategies in the apparel retail industry.

• 패션비즈니스
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• 제17권3호
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• pp.74-84
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• 2013

The purpose of this research is to provide useable data for application in American and Korean apparel company. This data was developed by analyzing information of Korean and American body sizes obtained from "Size USA Project" and "Size Korea Project". The Subjects were 6,306 American females and 1,988 Korean females over 18 years old. 30 measurements and 14 computed values were chosen that were considered critical in making garments. And descriptive analysis, percentile analysis and t-test were used as statistical methods for analyzing measurements and computed value between the two countries. The results were as follows. It was determined that American women were larger and bigger than Korean women in all measurements and computed values, except for Shoulder Slope. Based on BMI values, we determined that American women had a distinct tendency towards being overweight. Through the comparison of drop values (i.e. the difference between Hip and Bust Girths or Hip and Waist Girths), ratio values (i.e. waist height divided by height) and Body Mass Index (BMI) between the two countries, we determined that American women's figures were shapelier than Korean women's. American women had higher hip heights and longer leg lengths for their height compared to Korean woman. Furthermore, the back shapes of Korean women were flatter than American women and BMI values indicated American women were relatively more overweight than Korean women.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.116-119
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• 2012

본 연구는 3D레이저 스캔 방식으로 계측된 인체 데이터를 대상으로 하여 인체의 여러 동작들에 대한 애니메이션 모듈 구현을 목표로 하였다. 이를 위하여 애니메이션 회전을 위한 기준점인 인체의 골격 기준점을 추출하고 추출된 기준점을 이용하여 골격을 잡고 각 골격에 따른 계층트리를 구성하였다. 구성된 계층트리의 골격에 해당되는 오브젝트 정점들을 골격과 연결하고 주어진 애니메이션 3차원 정점들에 행동 패턴을 적용하여 스캔데이터에 애니메이션을 구현하였다.

• 한국컴퓨터그래픽스학회논문지
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• 제28권4호
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• pp.1-11
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• 2022

선형 스키닝 기반 3D 인체 생성 모델 SMPL (Skinned Multi-Person Linear Model)은 1990년대 미국 거주 미국인들 3천 8백여명을 대상으로 만들어진 3D 신체 데이터베이스인 CEASAR 로부터 최적화 기법을 통해 만들어진 가장 널리 쓰이는 통계적인 3D 모델이다. 본 연구는 한국인 체형의 통계적 특성을 보다 정확히 표현하는 SMPL기반의 한국인 체형 3D 모델을 제안한다. 이를 위해 우리는 한국인 여성 2천7백여명의 신체 각 부위의 실측 데이터에 기존 3D SMPL 모델을 피팅하는 비선형 최적화 알고리즘을 개발한다. 이를 사용하여 한국인 3D 신체 데이터베이스를 구축하고, 주성분 분석 방법으로 한국인 체형 기반 매개화된 3D 모델을 개발한다. 본 연구를 통해 제안하는 한국인의 체형적 특징을 가진 블렌드쉐입과 새로운 체형 파라미터는 기존 모델이 표현하는 체형에 비해 한국인 체형 데이터 특성을 잘 반영함을 확인하였다. 뿐만 아니라, 우리의 모델은 SMPL에 비해 신체 실측 데이터에 대한 피팅 정확도를 개선함을 확인하였다. 제안된 모델은 향후 아바타 생성이나 인체 형상 측정 등 다양한 용도로 사용될 수 있다.

• 복식
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• 제65권2호
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• pp.157-175
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• 2015

The study was aimed to develop a torso-type dress form representing body features of the female fashion models in Korea. To fulfill this purpose, 5 female fashion models aged between 20 and 26 having the average body measurements of professional fashion models in Korea were selected and their 3-D whole body scanned data were analysed. The 3-D whole body scanning method enabled to generate a virtual female fashion model within the CAD system by measuring the subjects' body shapes and sizes. In addition, the virtual model's body data led the development of a standard female fashion model dress form for the efficient fashion show preparation. In order to manufacture the real dress form for female fashion models, 3-D printing technology was adopted. The consequent results are as follows: (1) the body measurements (unit: cm) of the developed dress form were: biacromion length, 36.0, bust point to bust point, 16.6, front/back interscye lengths, 32.0/33.0, neck point to breast point, 26.0, neck point to breast point to waist line, 41.5, waist front/back lengths, 34.5/38.5, waist to hip length, 24.0, bust circumference, 85.0, underbust circumference, 75.0, waist circumference, 65.0, hip circumference, 92.0. (2) the body measurements differences between the developed and existing dress forms were highlighted with the body measurements of neck point to breast point and waist to hip length. (3) the body shape features of the developed dress form showed that bust, shoulder blade, shoulder slope, abdomen and back waist line to hip line parts were more realistically manufactured.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.212-215
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• 2022

오늘날 소위 디지털 전환시대를 맞아, 많은 부분에서 빅데이터의 구축과 활용에 대한 필요성이 높아졌다. 오늘날에 많은 데이터가 디지털기기, 미디어 친화적으로 생산 및 보관되는 것과 달리, 과거 오랜 기간 데이터의 생산 및 보관은 활자 인쇄도서가 주를 이루었다. 따라서 오랜 기간 축적되어온 방대한 활자 인쇄도서를 빅데이터로써 활용하기 위한 광학 문자 판독(OCR: Optical Character Recognition) 기술의 필요성 역시 빅데이터의 필요성에 맞추어 함께 요구되었다. 본 연구에서는 도서 스캔 이미지의 정보를 각 문서 객체별로 세분화하여 그 구조와 내용을 디지털화하는 시스템을 제안한다. 제안 시스템은 크게 1) 문서객체(표, 수식, 그림, 본문)의 영역정보를 인식. 2)인식된 객체의 영역정보를 각각 표 처리, 수식 처리, 텍스트 처리 모듈로 OCR. 3) OCR로 처리된 문서 정보를 JSON형식으로 종합하여 반환하는 세 단계로 구성된다. 본 연구에서 제안하는 모델은 이러한 단계를 수행함에 있어 오픈소스로 공개된 프로젝트를 활용하되, 본 시스템의 목표에 맞추어 추가적인 학습과 개량을 거쳤다. 본 연구에서 제안한 지능형 OCR 시스템은 문서 이미지 내 4종(표, 수식, 이미지, 텍스트)의 객체인식과 처리에 있어 상용 소프트웨어 수준의 성능을 확인할 수 있었다.

• Human Ecology Research
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• 제54권3호
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• pp.279-292
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• 2016

This research predicted the fit of the basic bodice patterns worn on adolescent girls' 3-dimensional scanned bodies. Six 3-dimensional scanned bodies were selected from the sixth Size Korea data. Each of them had good body posture and represented one of the three garment sizes: 79-160, 82-160, and 85-160. Experimental basic bodice patterns were drafted by three basic bodice pattern making methods. The fit of the basic bodice pattern was analyzed by the CLO 3D virtual clothing system. The results showed that the experimental basic bodice patterns did not fit well at the neck, shoulder, and back for adolescent girls. The fit of the basic bodice patterns varied by pattern making method or size. The basic bodice pattern A with the waist darts ending above the breast line showed the best fit among the three different types of experimental pattern. Among the three sizes 79-160, 82-160, and 85-120, size 79-160 basic bodice pattern showed the worst fit for adolescent girls. The results show that the placement and size of the bodice darts affect the basic bodice pattern fit. The basic bodice pattern making method of size 79-160 for adolescent girls should be studied in a future study.

• 복식
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• 제67권3호
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• pp.81-98
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• 2017

The purpose of this study is to provide basic information for the development of pants patterns with a high level of fit and comfort through calculating surface variations of lower body parts by movement, grouping them into factors, and analyzing how their surface variations link to one another. The achieved results will help determine essential elements for constructing pants patterns, such as key measurements of lower body parts, the amount of ease values and selection of fabrics, which should be taken into consideration for allowing better movement in clothing. The study required lower body 3D scanning of women for analysis, and 13 women between the ages of 20-24 participated in the scanning, which was done by using Artec Eva 3D scanner. Their scanned data were digitalized and converted to measure the values of their lower body surface length and girth in pre-determined positions such as walking, stair climbing and sitting on a chair. These measurements have been statistically analyzed through SPSS 21.0 to obtain the average amounts and rates of extension for each of the measurement item. Some of the highlighted study results are as follows: The surface length and girth measurements were grouped into 4 factors based on their average extension rates. The results from correlation analysis between measurement items within each factor demonstrated that common items linked to all the changes in the values of other items in the three movements. But in most cases, items were not always correlated with each other for different movements. The results also showed that there were correlations between girth measurements, length measurements, and girth and length measurements. Therefore, key measurements for daily pants should be determined within reasonable estimations between relevant measurement items, while the measurements for work pants, which often withstand certain postures or repetitive movements, may require measurement items that are appro priate for, and closely related to, certain movements or tasks.

• 한국의류학회지
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• 제35권9호
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• pp.1039-1048
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• 2011

This research develops a basic design structure for scuba diving wetsuits suitable for the shape of Korean men in their 30's as well as enhances the reduction rate for underwater activity. The clothing pressure and fitness tests were performed using four different types of body suits. The usable data of the tests were coded for further statistical analysis that includes one way-ANOVA test and S-N-K Multiple Range Test by using SPSSWIN 17.0. An analysis of the results shows: (1) The results of the clothing pressure test (using a dummy) indicated that the larger the reduction rate, the stronger the clothing pressure gets (with an exception on the knee area). It has great impact on clothing pressure with regards to the different body parts. The different reduction rates should be applied to body parts accordingly. (2) In the case of test subjects, the overall mean values of the clothing pressure were lower than the ones with the dummy (attributable to the cushion function of body skin and muscle as well as the high stretch of the fabric). (3) In evaluating the subjective fit test of four types of body suits, a statistically significant difference was found in the relation between pattern reduction rates and all parts of the body. It was revealed that the reduction rate of 'B' pattern (X: 4%, Y: 3%) was the most suitable pattern and the 'B' pattern scored highest in the motion functional fit test performed by a test subject.