Research of collision detection algorithm based on particle swarm optimization

Xueli Shen, Ji-suo Zhang
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引用次数: 8

Abstract

This paper presents a particle swarm optimization based on real-time collision detection algorithm, and combines the PSO and the OBB hierarchy bounding box algorithm. OBB algorithm close simply establishes three-dimensional object bounding box. the collision detection problem in the three-dimensional space change into a two-dimensional space optimization process. PSO algorithm can quickly determine the regional intervention of geometric model, and exclude non-interference in the region. Then, further details of the triangle collision detection, and improves real-time collision detection in the virtual system
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基于粒子群优化的碰撞检测算法研究
提出了一种基于粒子群优化的实时碰撞检测算法,将粒子群优化算法与OBB层次包围盒算法相结合。OBB算法封闭简单地建立了三维物体边界框。将碰撞检测问题从三维空间转化为二维空间优化过程。粒子群算法可以快速确定几何模型的区域干涉,并排除该区域内的非干涉。然后,进一步详细介绍了三角形碰撞检测,提高了虚拟系统中碰撞检测的实时性
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