The NURBS human body modeling using local knot removal |
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Authors: | Joon Woo Jo Sung Soo Han |
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Institution: | (1) School of Textiles, Yeungnam University, 712-749 Gyeongsan, Korea |
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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. |
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Keywords: | Human body modeling NURBS Fuzzy c-means algorithm Surface approximation |
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