Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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A Study on the Comparison of Fit Similarity Between the Actual and Virtual Clothing According to the Pants Silhouette

팬츠 실루엣에 따른 실제착의와 가상착의의 유사도 비교 연구

  • Won, Yunhae (Department of Clothing & Textiles, Pusan National University) ;
  • Lee, Jeong Ran (Department of Clothing & Textiles, Pusan National University)
  • Received : 2021.11.14
  • Accepted : 2021.12.21
  • Published : 2021.12.31
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Abstract

The purpose of this study was to compare the similarity between actual and virtual pants using a virtual 3D CLO program. A subject corresponding to the average size of a women in her twenties was selected and an avatar with the same specifications was produced. Silhouettes of the pants were classified into trousers, slacks, and wide pants and images of actual and virtual pants were evaluated from the front, side, and back. The results were as follows: Overall, the resemblance of the trousers was evaluated higher than that of other pants. The average similarity of trousers was 4.20 at the front, 3.98 at the side, and 4.17 at the back, which was much like the actual clothing. In contrast, that of the slacks was 3.62, 3.73, and 3.79 and of the wide pants was 3.81, 3.53, and 3.97. The similarity between the actual and virtual clothing was relatively well reproduced when the shape of the pants was like the silhouette of the human body. However, if the pants were tight or loose, virtual fits failed to display the wrinkles caused by the tightness or the excessive slack. The virtual fit showed fewer wrinkles and did not depict the location and the shape of hemlines as accurately as the actual fit, although virtual fits adequately displayed the baseline and dart on the pants.

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References

  1. Armstrong, H. J. (2001). Patternmaking for Fashion Design(K. W. Park, Trans.). Busan: Norano. (Original work published 1999)
  2. Chun, J. S., & Oh, S. Y. (2018). Clothing construction and pattern making. Seoul: Gyomoon.
  3. Ju, K. S., & Jeong, Y. H. (2016). Usage & education of the CLO 3D virtual clothing program in the development office & academic. Fashion Information and Technology, 13, 51-59.
  4. Kim, K. A., Hong, E. H., & Uh, M. K. (2014). Comparative analysis of men's slim pants patterns-Using a 3D CLO virtual garment system. The Research Journal of the Costume Culture, 22(4), 605-618. doi:10.7741/rjcc.2014.22.4.605
  5. Kim, K. A. (2016). Pattern making for women's clothes. Seoul: Kyoungchun
  6. Kim, M. K., Nam, Y. J., & Kim, K. S. (2015). A comparative study on fit and appearance for the applicability of mass customization of a 3D virtual garment system. Korean Society of Basic Design & Art, 16(6), 77-87.
  7. Kim, S. R. (2020). A study on the development of fashion design through the convergence of digital technology-focusing on big data and 3D virtual clothing program. Journal of Cultural Product & Design, 62, 285-297. doi:10.18555/kicpd.2020.62.26
  8. Korean Agency for Technology and Standards. (2010). The 6th Size Korea 3D scan & measurement technology report. Seoul: Government Printing Office.
  9. Korean Agency for Technology and Standards. (2015). The 7th Size Korea 3D scan & measurement technology report. Seoul: Government Printing Office.
  10. Kwak, Y. S. (2016). A study on the 3D simulation system improvement through comparing visual images between the real garment and the 3D garment simulation of women's jacket. The Journal of the Convergence on Culture Technology, 2(3), 15-22. doi:10.17703/JCCT.2016.2.3.15
  11. Lee, H. C. (2012). Rules of pattern. Gyeonggi-do: Gyomoon.
  12. Lee, H. S., & Nam, Y. J. (2001). Patternmaking for Ready-to-wear. Seoul: Kyohakyongusa.
  13. Lee, J. S., & Lee, J. R. (2013). Comparison on the pants fitting for obese women between 3D virtual garment and real garment. Journal of Fashion Business, 17(2), 33-45. doi:10.12940/jfb.2013.17.2.33
  14. Lee, N. Y., Sung O. J., & Kim, S. K. (2019). The design development of family formal clothes using 3d virtual clothing software. Journal of Fashion Business, 23(3), 35-50. doi:10.12940/jfb.2019.23.3.35
  15. Lee, S. K., Lee, S. Y., Kim, H. S., & Kang, I. A. (2011). The comparative analysis of shapes of 3D apparel CAD virtual clothing and actual clothing. Journal of Korea Design Forum, 30(2), 255-264. doi:10.21326/ksdt.2011..30.023
  16. Lim, J. Y. (2014). 기초 패턴 디자인 [Basic pattern design]. Seoul: Kyohakyongusa.
  17. Lim, J. Y. (2019). Development of the slacks pattern for the elderly women from 3D virtual garment simulation. Fashion & Textile Research Journal, 21(1), 59-66. doi:10.5805/SFTI.2019.21.1.59
  18. Shin, J. Y. A., Nam, Y. J., & Kim, K. S. (2016). Comparative pattern analysis and the fitness evaluation of brassieres using 3D virtual clothing simulation - Focusing on cross section of human body shape & changing of silhouette. Journal of the Korean Society of Costume, 66(8), 46-60. doi:10.7233/jksc.2016.66.8.046
  19. Shin, K. H., & Suh, C. Y. (2018). A study on the development of basic pants pattern for men using virtual fitting program - Focused on the menswear textbook. Fashion & Textile Research Journal, 20(4), 410-421. doi:10.5805/SFTI.2018.20.4.410
  20. Uh, M. K. (1999). Apparel Making. Seoul: Kyohakyongusa.
  21. 'Virtual fitting room market size, share and covid-19 impact analysis, by component(hardware, software, and services), by services (integration, support, maintenance, and consulting), by application(apparel, eyewear, jewelry, watches, and others), by end user(physical and virtual stores) and regional forecast, 2021-2028.' (2020. August). Fortune Business Insights. Retrieved October 10, 2020, from https://www.fortune businessinsights.com/industry-reports/virtual-fitting-room-vfr-market-100322
  22. Yin, S. Y. (2015). A comparison of fit and appearance between real clothing and virtual clothing depending on types of virtual clothing program, body shape and fit status. Unpublished master's thesis, Kyung Hee University, Seoul.