JOURNAL OF TEXTILE RESEARCH ›› 2012, Vol. 33 ›› Issue (5): 145-149.

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 Personal garment rapid design based on customer online experience

 CHEN  Gang1, CHEN  Jian1,2, WANG  Jin2, CHEN  Qi-Jin2, BI  Xin-Yu2, LU  Guo-Dong2   

    1. ZhejiangTextile & Fashion College
    2. State Key Laboratory of CAD&CG, Zhijiang University
  • Received:2011-07-01 Revised:2011-12-23 Online:2012-05-15 Published:2012-05-15

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

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