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Weighted Triangulations for Geometry Processing

机译:几何处理的加权三角剖分

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In this article we investigate the use of weighted triangulations as discrete, augmented approximations of surfaces for digital geometry processing. By incorporating a scalar weight per mesh vertex, we introduce a new notion of discrete metric that defines an orthogonal dual structure for arbitrary triangle meshes and thus extends weighted Delaunay triangulations to surface meshes. We also present alternative characterizations of this primal-dual structure (through combinations of angles, areas, and lengths) and, in the process, uncover closed-form expressions of mesh energies that were previously known in implicit form only. Finally, we demonstrate how weighted triangulations provide a faster and more robust approach to a series of geometry processing applications, including the generation of well-centered meshes, self-supporting surfaces, and sphere packing.
机译:在本文中,我们研究了使用加权三角剖分作为数字几何处理中表面的离散,增强近似。通过合并每个网格顶点的标量权重,我们引入了离散度量的新概念,该概念为任意三角形网格定义了正交对偶结构,从而将加权Delaunay三角剖分扩展到了表面网格。我们还提供了这种二元结构的替代特征(通过角度,面积和长度的组合),并在此过程中揭示了网格能量的闭合形式,这些形式以前仅以隐式形式已知。最后,我们演示了加权三角剖分如何为一系列几何处理应用程序提供更快,更健壮的方法,包括生成中心良好的网格,自支撑曲面和球体堆积。

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