图论框架下的保形网格抽取

A. Jagannathan, E. Miller
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引用次数: 0

摘要

提出了一种新的网格抽取算法,用于获得高度精细的三维表面网格的保持形状的粗近似值。输入网格被分割成多个不相交的子网格,以方便抽取。给定一个子网格,识别各种形状簇,并将这些簇中的顶点标记为边界或内部。通过只考虑相似标记的顶点对作为潜在合并的候选点来保持形状。子网格抽取是通过合并一个顶点对来实现的,该顶点对最小化了所提出的基于图能量的代价函数。结果表明了该方法的有效性和有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape-preserving mesh decimation within a graph-theoretic framework
A new mesh decimation algorithm is proposed to address the problem of obtaining shape-preserving coarse approximations of a highly detailed 3D surface mesh. The input mesh is segmented into multiple, disjoint sub-meshes to facilitate decimation. Given a sub-mesh, various shape clusters are identified and the vertices in those clusters arc labeled as boundary or interior. Shape is preserved by considering only similar-labeled vertex pairs as candidates for a potential merge. Sub-mesh decimation is realized by merging a vertex pair that minimizes the proposed graph energy based cost function. Results demonstrate the efficiency and efficacy of the approach
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