面向用户在线体验的服装快速个性化设计方法

纺织学报 ›› 2012, Vol. 33 ›› Issue (5): 145-149.

面向用户在线体验的服装快速个性化设计方法

陈罡¹,陈健^1，2,王进²,陈起进²,毕新宇²,陆国栋²

1. 浙江纺织服装职业技术学院
2. 浙江大学CAD&CG国家重点实验室

收稿日期:2011-07-01 修回日期:2011-12-23 出版日期:2012-05-15 发布日期:2012-05-15
通讯作者: 陈健 E-mail:chj_zju@zju.edu.cn
基金资助:
宁波市自然科学基金资助项目；浙江省公益技术研究工业项目；教育部博士点基金项目

Personal garment rapid design based on customer online experience

CHEN Gang¹, CHEN Jian^1，2, 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

摘要/Abstract

摘要： 根据服装产业的需求，采用体验式设计方法，让消费者参与融入设计中，使其能在交互设计中感受到美好体验。对服装互动纹理设计技术进行了研究，基于RBF算法对服装的款式图片进行创意编辑；用户可以体验款式廓型变形与局部图案的变形，并根据个人喜好编辑服装款式图案；根据服装知识，基于拓扑聚类对三维服装曲面模板进行了分类并构建,实现服装的快速生成；最后在款式图片与曲面模板的基础上，根据客户要求对个性版型服装进行构建修整。

关键词: 在线体验 , RBF算法 , 拓扑聚类 , 三维版型

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

陈罡, 陈健, 王进, 陈起进, 毕新宇, 陆国栋. 面向用户在线体验的服装快速个性化设计方法[J]. 纺织学报, 2012, 33(5): 145-149.

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.

参考文献

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed