最小角度消除的误差边界曲面重网格

Kaimo Hu, Dong‐Ming Yan, Bedrich Benes
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引用次数: 2

摘要

表面网格划分是许多几何处理应用中的关键组成部分。然而,现有的高质量重划分方法通常会引入难以控制的近似误差,而误差驱动方法对网格质量的关注较少。而且,这两种方法都不能保证最终网格的最小角度边界。提出了一种基于最小角度消去的误差有界曲面网格重划分方法。我们的方法采用了一个动态优先级队列,该队列首先参数化包含角度小于用户指定阈值的三角形。然后巧妙地应用几个局部算子来消除这些小角度。为了控制局部算子的几何保真度,提出了一种有效的局部误差测量方案,并将其集成到网格重划分框架中。初步结果表明,该方法能够严格约束几何保真度,同时可以消除结果的最小角度,最大可达40度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error-bounded surface remeshing with minimal angle elimination
Surface remeshing is a key component in many geometry processing applications. However, existing high quality remeshing methods usually introduce approximation errors that are difficult to control, while error-driven approaches pay little attention to the meshing quality. Moreover, neither of those approaches can guarantee the minimal angle bound in resulting meshes. We propose a novel error-bounded surface remeshing approach that is based on minimal angle elimination. Our method employs a dynamic priority queue that first parameterize triangles who contain angles smaller than a user-specified threshold. Then, those small angles are eliminated by applying several local operators ingeniously. To control the geometric fidelity where local operators are applied, an efficient local error measure scheme is proposed and integrated in our remeshing framework. The initial results show that the proposed approach is able to bound the geometric fidelity strictly, while the minimal angles of the results can be eliminated to be up to 40 degrees.
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