An effective condition for sampling surfaces with guarantees

J. Boissonnat, S. Oudot
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引用次数: 21

Abstract

The notion of ε-sample, as introduced by Amenta and Bern, has proven to be a key concept in the theory of sampled surfaces. Of particular interest is the fact that, if E is an ε-sample of a smooth surface S for a sufficiently small ε, then the Delaunay triangulation of E restricted to S is a good approximation of S, both in a topological and in a geometric sense. Hence, if one can construct an ε-sample, one also gets a good approximation of the surface. Moreover, correct reconstruction is ensured by various algorithms.In this paper, we introduce the notion of loose ε-sample. We show that the set of loose ε-samples contains and is asymptotically identical to the set of ε-samples. The main advantage of loose ε-samples over ε-samples is that they are easier to check and to construct. We also present a simple algorithm that constructs provably good surface samples and meshes.
有保证采样曲面的一个有效条件
由Amenta和Bern提出的ε-sample的概念已经被证明是采样曲面理论中的一个关键概念。特别有趣的是,如果E是一个ε足够小的光滑表面S的ε-样本,那么限制于S的E的Delaunay三角剖分在拓扑和几何意义上都是S的一个很好的近似。因此,如果能构造一个ε-样本,就能很好地近似曲面。此外,各种算法保证了正确的重构。本文引入了松散ε-样本的概念。我们证明了松散ε-样本集包含ε-样本集并渐近与ε-样本集相同。松散ε-样本相对于ε-样本的主要优点是它们更容易检查和构造。我们还提出了一个简单的算法来构造可证明的良好的表面样本和网格。
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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