Three-dimensional triangulations from local transformations

B. Joe
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引用次数: 213

Abstract

A new algorithm is presented that uses a local transformation procedure to construct a triangulation of a set of n three-dimensional points that is pseudo-locally optimal with respect to the sphere criterion. It is conjectured that this algorithm always constructs a Delaunay triangulation, and this conjecture is supported with experimental results. The empirical time complexity of this algorithm is $O(n^{{4 / 3}} )$ for sets of random points, which compares well with existing algorithms for constructing a three-dimensional Delaunay triangulation. Also presented is a modification of this algorithm for the case that local optimality is based on the max-min solid angle criterion.
局部变换的三维三角剖分
提出了一种利用局部变换构造n个三维点的三角剖分的新算法,该算法在球面准则下是伪局部最优的。推测该算法总是构造一个Delaunay三角剖分,实验结果支持了这一推测。对于随机点集,该算法的经验时间复杂度为$O(n^{{4 / 3}})$,与现有的构建三维Delaunay三角网的算法相比具有较好的性能。针对基于最大-最小立体角准则的局部最优问题,对该算法进行了改进。
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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