Advanced computational geometry for proximity queries of convex polyhedras

K. Sundaraj, V. Retnasamy
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引用次数: 2

Abstract

This paper summarizes the prominent algorithms for computing the minimum distance between convex polyhedras. These algorithms are used in various areas such as path planning, collision detection, haptic interaction, virtual reality, etc. The algorithm of Gilbert-Johnson-Keerthi (GJK) and the algorithm of Lin-Canny (LC) are well known fast solutions to the problem. An hybrid approach which was proposed by Sundaraj-Mazer (SM) has also been shown to produce satisfactory results in terms of speed and accuracy. A review of these algorithms and their variations are presented. A critical analysis of these algorithms is also presented.
凸多面体接近查询的高级计算几何
本文总结了计算凸多面体之间最小距离的主要算法。这些算法用于路径规划、碰撞检测、触觉交互、虚拟现实等各个领域。Gilbert-Johnson-Keerthi算法(GJK)和Lin-Canny算法(LC)是该问题的快速解决方案。Sundaraj-Mazer (SM)提出的一种混合方法在速度和精度方面也取得了令人满意的结果。对这些算法及其变体进行了综述。本文还对这些算法进行了批判性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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