局部均匀采样曲面的k邻域界

Mattias Andersson, Joachim Giesen, M. Pauly, B. Speckmann
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引用次数: 20

摘要

给定光滑曲面s的一个局部一致的样本集P,我们推导出样本点P的k个近邻的上界和下界,这些近邻必须从P中选择,以使该邻域包含P的所有受限的Delaunay邻域。与平凡的下界相反,上界表明在许多计算几何证明中使用的采样条件从实际的角度来看是相当合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bounds on the k-Neighborhood for Locally Uniformly Sampled Surfaces
Given a locally uniform sample set P of a smooth surface S. We derive upper and lower bounds on the number k of nearest neighbors of a sample point p that have to be chosen from P such that this neighborhood contains all restricted Delaunay neighbors of p. In contrast to the trivial lower bound, the upper bound indicates that a sampling condition that is used in many computational geometry proofs is quite reasonable from a practical point of view.
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