Color-Mood-Aware Clothing Re-texturing

摘要：

In this paper,we present a novel color-mood-aware technique to re-texture clothing in a photograph.An ef.cient classi.cation algorithm is developed to classify clothing textures using color mood scheme. To re-texture the clothing, our approach .rst computes the gradient maps for the cloth region to be replaced and then calculates the texture distortion coordinates on the projected cloth region according to the gradient maps. After the user selects a target clothing texture from the classi.ed clothing texture database, the lighting and shading effects on the original photograph is transferred using the HSV color space. Experimental results show that the proposed approach successfully re-textures the clothes in photographs while preserving the geometry and lighting features.

作者: Jianbing Shen Hanqiu Sun Xiaoyang Mao Yanwen Guo Xiaogang Jin

作者单位: School of Computer Science,Beijing Institute of Technology,Beijing 100081,China Department of Computer Science and Engineering,The Chinese University of Hong Kong,Hong Kong University of Yamanashi,Japan Department of Computer Science and Technology,Nanjing University,China State Key Lab of CAD&CG,Zhejiang University,Hangzhou 310027,China

会议类型: 国际会议

会议名称: 2011国际计算机辅助设计与图形学学术会议(CAD/Graphics 2011)

会议地点: 济南

会议语种:英文

页码: 1-4

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）