会议专题

A Neural Network Model for Simulating Cloth Texture Deformation

This study describes a method to simulate cloth texture deformation using a neural network model. The cloth texture may be represented by its texture colors, positions and its topological structures. In addition, the relationship between the texture colors can be deduced based on the smooth texture and the two and three dimensional texture deformation are correspondingly concerned. A multilayered single direction neural network model is adopted to numerically represent the cloth texture for the purpose of speeding up the simulation. The color values of the points on the cloth deformed curved surface can be calculated with such neural network model. The experimental results show that such method is efficient and executable for the regularized texture deformation.

texture color value neural network deformation

Zhihong ZHAO

Electronic and automation department Nanjing Institute of Industry Technology Nanjing, China College of Information and Engineering, DONG HUA University Shanghai, China zhaozh@niit.edu.cn

国际会议

2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

哈尔滨

英文

445-448

2011-01-18(万方平台首次上网日期,不代表论文的发表时间)