Streaming Collision Detection Using Programmable GPU

نویسندگان

  • Zhaowei Fan
  • Huagen Wan
  • Shuming Gao
چکیده

Real-time collision detection is required by most of all computer graphics applications. However, the current collision detection methods still have difficulties in achieving real time. Recent advances in programmable graphics hardware (GPU) make it possible to be used in general-purpose computation. In this paper, we explore to solve the collision detection problem with programmable GPUs. An approach to mapping collision detection between two star-shaped objects to programmable GPU is presented. Specifically, the approach converts the problem into ray intersection with triangles so as to match the parallel architecture of GPUs. Several efficient optimized techniques have also been incorporated into the approach. Preliminary experimental results are given.

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تاریخ انتشار 2003