Browse

Optimized garment pattern generation based on three-dimensional anthropometric measurement

Cited 0 time in Web of Science Cited 33 time in Scopus
Authors
Kang, Tae Jin; Kim, Sung Min
Issue Date
2000-12-01
Publisher
Emerald
Citation
International Journal of Clothing Science and Technology, Vol. 12 No. 4, pp. 240-254
Keywords
CAD3DApparel
Abstract
An automatic garment pattern generation system has been developed for the threedimensional 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.
ISSN
0955-6222
Language
English
URI
http://hdl.handle.net/10371/7557
DOI
https://doi.org/10.1108/09556220010373043
Files in This Item:
There are no files associated with this item.
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Material Science and Engineering (재료공학부) Journal Papers (저널논문_재료공학부)
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse