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基于图像空间的复杂模型碰撞检测算法
引用本文:朱连章,庄华. 基于图像空间的复杂模型碰撞检测算法[J]. 计算机工程与设计, 2007, 28(15): 3675-3677,3681
作者姓名:朱连章  庄华
作者单位:中国石油大学,计算机与通信工程学院,山东,东营,257061;中国石油大学,计算机与通信工程学院,山东,东营,257061
摘    要:提出一种使用图形硬件用于复杂模型间的快速的碰撞检测算法.算法是基于CULLIDE的执行GPU可见性查询来减少物体模型间没有邻近特征的子集,描述了一个分类方案计算物体潜在碰撞集和碰撞自由子集,提高了裁减的性能.为了减少CPU的负载,利用GPU的可编程性,在GPU上进行精确的物体相交计算.

关 键 词:碰撞检测  可编程图形单元(GPU)  通用计算  潜在碰撞集(PCS)  流计算  Cg语言
文章编号:1000-7024(2007)15-3675-03
修稿时间:2006-09-17

Image-space collision detection algorithm between complex models
ZHU Lian-zhang,ZHUANG Hua. Image-space collision detection algorithm between complex models[J]. Computer Engineering and Design, 2007, 28(15): 3675-3677,3681
Authors:ZHU Lian-zhang  ZHUANG Hua
Affiliation:College of Computer and Communication Engineering, China University of Petroleum, Dongying 257061, China
Abstract:A fast collision detection algorithm is presented between complex models using graphics hardware. The algorithm is based on CULLIDE which using GPU to eliminate a subset of geometric primitives that are not in close proximity. A novel visibility-based classification scheme is described to compute potentially-colliding and collision-free subsets of objects and primitives, which considerably improves the culling performance. For balancing the load between CPU and GPU, precise intersection is calculated on GPU.
Keywords:collision detection   graphics processing tmit   general-purposecomputation   potentially colliding set   streaming computing   C for graphics
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