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Particle-based self collision detection for deformable objects using graphics hardware
基于质点的可变形体自碰撞检测

Keywords: self collision detection,GPU,bounding volume hierarchy,cloth simulation
自碰撞检测
,GPU,层次包围盒,布料模拟

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Abstract:

Self collision detection is the most time consuming process in deformable object simulation. In this paper, a novel algorithm is presented for performing self collision using graphics hardware. Each particle, rather than the traditional triangle, is taken as a primitive. The particle-centered local regions are bounded with a sphere, where the AABB is then enclosed. After initial culling, the AABBs of potentially colliding particles are organized in textures and sent to GPU. A linear time two-pass rendering procedure is proposed to compute the set of colliding pairs and the colliding time of each pair. Experimental results demonstrate this algorithm handles self collision at interactive rates in the context of cloth simulation.

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