会议专题

Research on Parallel Collision Detection Algorithm for polyhedron Models

Collision detection among complex polyhedron models is an open question because of its algorithmic complexity. To satisfy the real-time collision detection requirement of polyhedrons, we presented a parallel algorithm to perform collision detection for polyhedrons models. The algorithm decomposes nonconvex polyhedron into tetrahedrons, then detect thetetrahedrons in parallel, and box tree of the polyhedron is built to improve the efficiency of the parallel algorithm. We detailed described the parallel algorithm based on box-tree, and give the experiment data. reseach result shows that the parallel method based on box tree is more efficient and scalable than the classic algorithm.

collision detection polyhedron tetrahedron parallel decompose box-tree

Xiong Yumei Chen Yinming

School of Computer Engineering and Science, Shanghai University, Shanghai, China Electronic & Inform School of Computer Engineering and Science, Shanghai University, Shanghai, China

国际会议

2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

青岛

英文

228-232

2009-11-21(万方平台首次上网日期,不代表论文的发表时间)