A novel method for cloth-body collision detection

  • Authors:
  • Xiaolong Zhu;Shihong Xia;Yong Yu;Tianlu Mao

  • Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China

  • Venue:
  • ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
  • Year:
  • 2007

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Abstract

This paper presents a novel cloth-body collision detection method by using the generalized cross-sectional contour technique, which has two main steps. During preprocessing step, the so-called skin hierarchical structure (Skin-H) of the body is constructed by using the improved generalized cross-sectional contour technique, which doesn't need to be updated in subsequent step. During runtime step, the cloth vertices are projected onto Skin-H structure efficiently, and then the exact collision detection can be done by a ray-triangle test technique at the lowest level of the structure. The simulation result demonstrates that the proposed method has some advantages in algorithm's efficiency, accuracy as well as practicability.