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The NURBS human body modeling using local knot removal
Authors:Joon Woo Jo  Sung Soo Han
Affiliation:(1) School of Textiles, Yeungnam University, 712-749 Gyeongsan, Korea
Abstract:These days consumers’ various demands are accelerating research on apparel manufacturing system including automatic measurement, pattern generation, and clothing simulation. Accordingly, methods of reconstructing human body from point-clouds measured using a three dimensional scanning device are required for apparel CAD system to support these functions. In particular, we present in this study a human body reconstruction method focused on two issues, which are the decision of the number of control point for each sectional curve with error bound and the local knot removal for reducing the unusual concentration of control points. The approximation of sectional curves with error bounds as an approximation criterion leads all sectional curves to their own particular shapes apart from the number of control points. In addition, the application of the local knot removal to construction of human body sectional curves reduces the unusual concentration of control points effectively. The results may be used to produce an apparel CAD system as an automatic pattern generation system and a clothing simulation system through the low level control of NUBS or NURBS.
Keywords:Human body modeling  NURBS  Fuzzy c-means algorithm  Surface approximation
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