一种服装仿真的并行碰撞检测算法
Parallel Collision Detection Algorithm among Garment Simulation
碰撞检测是计算机服装仿真领域的热点问题,文中提出一种基于数据驱动的分块碰撞检测算法。在预处理阶段,将场景中模型根据已有的运动数据规律划分为多个碰撞块,分别对每个碰撞块构建碰撞检测包围盒树;在碰撞检测阶段,并行更新各模型碰撞块的碰撞检测包围盒树,并行实施各个碰撞块和人体模型之间的碰撞检测。实例结果表明,文中方法能有效提高服装仿真中的碰撞检测效率。
ollision detection has been one of the major interests in 3D physical simulation. A data partition algorithm is proposed in this paper based on pre-existing cloth motion data. The algorithm includes the preprocessing stage and collision detection stage. In the preprocessing stage, the simulation models are partitioned into several collision clusters according to the inner triangles' motion distinction extracted from the pre-existing motion data, followed by the hierarchical bounding box tree construction for each collision cluster. In the collision detection stage, the collision detection process is parallel implemented utilizing every single collision cluster after the parallel update of collision clusters' bounding boxes. Experiments results confirm that the method can efficiently improve the collision detection efficiency.
李基拓、刘炯宙、陆国栋
计算技术、计算机技术
碰撞检测数据驱动分块碰撞
ollision detectiondata drivenmodel partition collision
李基拓,刘炯宙,陆国栋.一种服装仿真的并行碰撞检测算法[EB/OL].(2013-02-07)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201302-195.点此复制
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