JOURNAL OF TEXTILE RESEARCH ›› 2012, Vol. 33 ›› Issue (5): 145-149.
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CHEN Gang1, CHEN Jian1,2, WANG Jin2, CHEN Qi-Jin2, BI Xin-Yu2, LU Guo-Dong2
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Abstract: A new garment rapid design method is proposed, taking the customer `s participation into the design, which can offer a better experience for the customer in the interaction design. The interactive texture design has been studied and a creative editing method of the clothing style picture is advanced based on the RBF algorithm; Customer can experience the transformation in the style profile and partial graphic, then edit the clothing style pattern according to personal preferences; Also ,3D garment curve templates can be classified and build based on the topology clustering from the garment knowledge and rapid generation of clothing is achieved; At last, adjust the personalized version garment model to meet the customer requirements in the style picture and the curve template.
Key words: online experience , RBF algorithm , topology clustering , 3-D template
CHEN Gang, CHEN Jian, WANG Jin, CHEN Qi-Jin, BI Xin-Yu, LU Guo-Dong. Personal garment rapid design based on customer online experience[J].JOURNAL OF TEXTILE RESEARCH, 2012, 33(5): 145-149.
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