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Optimized garment pattern generation based on three‐dimensional anthropometric measurement

Tae Jin Kang (Department of Fiber & Polymer Science, Seoul National University, Seoul, Korea)
Sung Min Kim (Department of Fiber & Polymer Science, Seoul National University, Seoul, Korea)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 1 October 2000

1252

Abstract

An automatic garment pattern generation system has been developed for the three‐dimensional apparel CAD system. To substitute the garment fitting process, which requires lots of trial and error in the traditional pattern generation methods, we developed a new direct pattern generation method using body‐garment shape matching process. In this method, we first generated a body model using three‐dimensionally measured anthropometric data and transformed it to have a convex shape similar to that of a commonly used dummy model in garment design process. Then a typical garment model has been defined by measuring the surface information of a dummy model using stereoscopy and adjusting its shape considering the geometrical constraints of the underlying body model to obtain the optimum fit garment patterns. Finally, we developed a pattern flattening algorithm that flattens the three‐dimensionally adjusted garment model into two‐dimensional patterns considering the anisotropic properties of the fabric to be used.

Keywords

Citation

Jin Kang, T. and Min Kim, S. (2000), "Optimized garment pattern generation based on three‐dimensional anthropometric measurement", International Journal of Clothing Science and Technology, Vol. 12 No. 4, pp. 240-254. https://doi.org/10.1108/09556220010373043

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited

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