• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.515-518
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• 2011

본 연구는 3차원 인체 데이터 위에 가상 의류를 착장시키는 착장 시뮬레이션 시스템의 구현을 소개 한다. 인체 데이터는 3차원 전신 레이저 스캐너로 계측하였으며 가상의류는 의복의 앞뒷면 촬영 영상으로 하였다. 대상 의류는 원피스, 티셔츠, 바지 등과 같은 비교적 복잡하지 않은 구조의 의류이며, 본 논문에서는 상의 및 원피스의 착장 과정과 바지의 착장 그리고 바지위에 상의를 착장하는 중첩 착장의 과정을 보여준다. 가상 착장 결과로 실제 착장과 동일한 결과를 제공하기 때문에 치수가 자신에게 맞는지의 정보와 착장시의 어울림의 정보가 온라인상에서 육안으로 확인되도록 제공되며, 디지털 의류의 준비도 간단하여, 본 논문의 결과로 새로운 형태의 온라인 의류 판매 방식이 제시될 수 있다.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.10
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• pp.1632-1646
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• 2010

This article is an analysis of the fit preference of the knitted jacket according to body types for 30's and 40's adult women through a comparison of real and virtual fit. A five point likert scale was used to evaluate the degree of the preference of real and virtual fit. The data were analyzed with t-test and ANOVA using statistical program SPSS 17.0. The results are as follow. 1. The real and virtual fit preference of the knitted jacket according to body types indicates that respondents preferred pattern 2 for body type N than the rest of the patterns; however, respondents preferred pattern 3 for body type A and H. 2. There were no significant differences between real and virtual fit preference. 3. It is necessary that the knitted jacket follow a similar size tolerance like a woven jacket. The results show that the next generation of virtual try-on systems need the development of a minus clothing ease scale.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1184-1196
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• 2010

Several applications of body scanning technology have been commercialized or are currently under development. The virtual fit from 3D scans is most advanced form of virtual try-on. This article is an analysis of the comparison of user preferences for domestic versus foreign 3D virtual try-on systems. For this study, domestic i-Fashion Mall (www.ifashionmall.co.kr) and a Canadian company, My Virtual Model (www.mvm.com) were selected as the most representative online retailers that offer a virtual try-on system. The respondents were comprised of 70 Korean female college students in the age group 20-29. A five point Likert scale was used to evaluate the degree of the preference of virtual avatar and try-on images. T-test, cross table, and a chi-square independence test were conducted for data analysis. The results are as follow. 1. The representation about current looks according to each virtual fit image indicates that MVM is more accurate than i-Fashion Mall. 2. About decision confidence, respondents have decision confidence in i-Fashion Mall in the case of the avatar image; however, respondents have confidence in MVM or the fit image. 3. There were no significant differences in among waist size groups in accuracy, trust of each avatar image, while there were significant differences among waist size groups in the accuracy and trust of each virtual fit image. 4. About ease of use, respondents answered that i-Fashion Mall is superior to MVM. 5. The respondents prioritized the ‘fitting report’ of i-Fashion Mall and ‘Weight loss’ of MVM over other functionalities.

• Journal of the Korean Home Economics Association
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• v.44 no.2 s.216
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• pp.127-135
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• 2006

This paper suggests guidelines for virtual clothes modeling and draping software suitable for clothes designers. We first analyze Maya Cloth, which is widely used in game and animation fields, and which has been adopted by Pad System as a 3D cloth draping system. We then discuss what functions and procedures would improve Maya Cloth to assist designers in being able to create the clothes they have conceptualized. While Maya Cloth has many good functions and features forvirtual cloth modeling and draping, it treats input 2D patterns as approximat and it creates 3D clothes by considering other factors such as the 3D body model. As a result, it is hard for clothes designers to control the shape of the 3D clothes by changing 2D patterns. Furthermore, Maya Cloth does not handle seamlines satisfactorily. We suggest that the following new features should be added to Maya Cloth : respecting the input 2D patterns, handling seamlines, and controlling the shape of the clothes in 3D space.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.9
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• pp.940-951
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• 2012

This study evaluates the fit preference of the tailored jacket according to body types for 20's adult women through a comparison of real and virtual fit. A five point fit evaluation scale utilizing a wearer acceptability scale by Shen and Huck was used to evaluate the degree of the preference of real and virtual fit. This scale contained 23 items in three categories: front fit, back fit, and side fit. For each item, 5 responses from 'too tight' fit (1 point) to 'too loose' fit (5 point) were possible. The middle position for each fit criterion indicated a 'good' fit (3 point). The data were analyzed with a t-test using statistical program SPSS 17.0. According to the results, there were no significant differences ($p{\leq}.05$) between the real and virtual fit preference in total measurement items such as front collar, lapel and roll line, front shoulder slope, front armhole, front waist, abdomen, sideseam, hemline, front silhouette, side shoulder, side armhole, side sleeve width, side hip, side silhouette, back collar stand, upper back, back armhole, back waist, back hip, back silhouette except front bust, side waist, and back center back. The factor that caused a difference in the fit preference between the real and virtual fit evaluation was a specific body type such as Body Type A that indicated a small bust circumference and a big hip circumference.