Reversely Anisotropic Quad-dominant Remeshing

Weipeng Zhu, Chengying Gao, Xiaonan Luo, Ning Liu
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引用次数: 1

Abstract

In this paper we proposed an anisotropic quad-dominant remeshing algorithm suitable for meshes of arbitrary topology. It takes a novel approach to the challenging problem of constructing high-quality quad-dominant mesh with anisotropic sampling. The method based on exploiting and analyzing principal curvature lines of the surface, which aimed to improve mesh structure and efficiency. Connectivity optimized is guaranteed by the natural orthogonality of principal curvature lines and geometric shape is maintained by minimizing the Hausdorff distance between original mesh and resulting mesh. The technique is straightforward to implement and efficient enough to be applied to real-world models. It can flexibly produce quad-dominant meshes ranging from dense to coarse.
反向各向异性四主导重网格
本文提出了一种适用于任意拓扑网格的各向异性四主导重划分算法。该方法为构造具有各向异性采样的高质量四优网格提供了一种新颖的方法。该方法基于曲面主曲率线的挖掘和分析,旨在改善网格结构和效率。通过主曲率线的自然正交性来保证优化的连通性,并通过最小化原始网格与生成网格之间的豪斯多夫距离来保持几何形状。该技术实现起来很简单,而且足够有效,可以应用于现实世界的模型。它可以灵活地生成从密集到粗糙的四主导网格。
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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