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A new fast algorithm for computing the distance between two disjoint convex polygons based on Voronoi diagram

机译:基于Voronoi图的两个不相交凸多边形之间距离的快速计算新算法

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Computing the distance between two convex polygons is often a basic step to the algorithms of collision detection and path planning. Now, the lowest time complexity algorithm takes O(logm+logn) time to compute the minimum distance between two disjoint convex polygons P and Q, where n and m are the number of the polygons' edges respectively. This paper discusses the location relations of outer Voronoi diagrams of two disjoint convex polygons P and Q, and presents a new O(logm+logn) algorithm to compute the minimum distance between P and Q. The algorithm is simple and easy to implement, and does not need any preprocessing and extra data structures.
机译:计算两个凸多边形之间的距离通常是碰撞检测和路径规划算法的基本步骤。现在,最低时间复杂度算法需要O(logm + logn)时间来计算两个不相交的凸多边形P和Q之间的最小距离,其中n和m分别是多边形的边数。本文讨论了两个不相交的凸多边形P和Q的外部Voronoi图的位置关系,并提出了一种新的O(logm + logn)算法来计算P和Q之间的最小距离。该算法简单易实现,并且不需要任何预处理和额外的数据结构。

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