Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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Interactive 3D Pattern Design Using Real-time Pattern Deformation and Relative Human Body Coordinate System

실시간 패턴 변형과 인체 상대좌표계를 이용한 대화형 3D 패턴 디자인

  • 설인환 (특허청 섬유생활용품심사과) ;
  • 한현숙 (서울대학교 생활과학대학 의류학과) ;
  • 남윤자 (서울대학교 생활과학대학 의류학과) ;
  • 박창규 (건국대학교 섬유공학과)
  • Received : 2010.05.26
  • Accepted : 2010.08.27
  • Published : 2010.10.30
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Abstract

Garment design needs an iterative manipulation of 2D patterns to generate a final sloper. Traditionally there have been two kinds of design methodologies such as the flat pattern method and the pattern draping method. But today, it is possible to combine the advantages from the two methods due to the realistic cloth simulation techniques. We devised a new garment design system which starts from 3D initial drape simulation result and then modifies the garment by editing the 2D flat patterns synchronously. With this interactive methodology using real-time pattern deformation technique, the designer can freely change a pattern shape by watching its 3D outlook in real-time. Also the final garment data were given relative coordinates with respect to the human anthropometric feature points detected by an automatic body feature detection algorithm. Using the relative human body coordinate system, the final garments can be re-used to an arbitrary body data without repositioning in the drape simulation. A female shirt was used for an example and a 3D body scan data was used for an illustration of the feature point detection algorithm.

Keywords

References

  1. Azouz, Z. B., Shu, C., & Mantel, A. (2006). Automatic Locating of Anthropometric Landmarks on 3D Human Models. Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), USA, 750-757.
  2. Baraff, D., & Witkin, A. (1998). Large steps in cloth simulation. ACM Transactions on Graphics, 17(1), 43-54.
  3. Dekker, L., Douros, I., Buxton, B., & Treleaven, P. (1999). Building symbolic information for 3D human body modeling from range data. Proceedings of the Second International Conference on 3-D Digital Imaging and Modeling (3DIM'99), Canada, 388-397.
  4. Etzmuss, O., Keckeisen, M., & Strasser, W. (2003). A fast finite element solution for cloth modeling. Proceedings of Computer Graphics, 244-251.
  5. Han, H. S., (2006). A Study on the Automatic Setting of 3D Body Landmarks and Measuring Paths for Apparel, Ph.D. thesis, Seoul National University
  6. Klosowski, J. T., Held, M., Mitchell, J. S. B., Sowizral, H., & Zikan, K. (1998). Efficient collision detection using bounding volume hierarchies of k-DOPs. IEEE Transactions on Visualization and Computer Graphics, 4(1), 21-36. https://doi.org/10.1109/2945.675649
  7. Maya nCloth,. (2010). Autodesk. Retrieved July 26, 2010, from http://usa.autodesk.com
  8. Nurre, J. (1997). Locating Landmarks on Human Body Scan Data. Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling (3DIM'97), Canada, 285-295.
  9. Marvelous. (2009). Clo Virtual Fashion. Retrieved July 26, 2010, from http://www.clo.co.kr/
  10. Oh, S., Ahn, J., & Wohn, K. (2006). Low damped cloth simulation. The Visual Computer, 22(2), 70-79. https://doi.org/10.1007/s00371-006-0367-x
  11. Pandurangan, P., Eischen, J., Kenkare, N., & Lamar, T. A. M. (2008). Enhancing accuracy of drape simulation. Part II: Optimized drape simulation using industry-specific software. Journal of the Textile Institute, 99(3), 219-226. https://doi.org/10.1080/00405000701489198
  12. Park, C.K., Sul, I.H., Park, Y., & Kim, S. (2007). Vision and Implmentation of i-Fashion. The 23rd IAF World Apparel Convention, Teipei, Taiwan, 1-4.
  13. Qualoth. (2004). FxGear. Retrieved July 26, 2010, from http://qualoth.com/
  14. Shewchuk, J. (2002). Delaunay Refinement Algorithms for Triangular Mesh Generation. Computational Geometry: Theory and Applications, 22(1-3), 21-74. https://doi.org/10.1016/S0925-7721(01)00047-5
  15. Sul, I. H., Kim, S. M., Chi Y., & Kang, T. J. (2006). Simulation of Cusick Drapemeter Using Particle Based Modeling : Stability Analysis of Explicit Integration Methods. Textile Research Journal, 76(9),712-719. https://doi.org/10.1177/0040517506065880
  16. Sul, I. H., (2010). Fast Cloth Collision Detection Using Collision Matrix, International Journal of Clothing Science and Technology, 22(2),145-160. https://doi.org/10.1108/09556221011018621
  17. Sul, I. H., & Kang, T. J. (2010). Regeneration of 3D body scan data using semi-implicit particle based method. International Journal of Clothing Science and Technology, 22(4), 248-271. https://doi.org/10.1108/09556221011048286
  18. Sze, K. Y., & Liu, X. H. (2007). Fabric drape simulation by solid-shell finite element method. Finite Elements in Analysis and Design, 43(11-12), 819-838. https://doi.org/10.1016/j.finel.2007.05.007
  19. v-Stitcher. (2000). Browzwear. Retrived July 26, 2010, from http://www.browzwear.com/
  20. Yu, W. R., Kang, T. J., & Chung, K. (2000). Drape Simulation of Woven Fabrics by Using Explicit Dynamic Analysis. Journal of Textile Institute, 91(2), 285-301. https://doi.org/10.1080/00405000008659507

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