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Volume-Enhanced Compatible Remeshing of 3D Models

机译:体积增强的3D模型的重新网格化

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Compatible remeshing provides meshes with common connectivity structures. The existing compatible remeshing methods usually suffer from high computational cost or poor quality. In this paper, we present a fast method for computing compatible meshes with high quality. Given two closed, oriented, and topologically equivalent surfaces and a sparse set of corresponding landmarks, we first compute a bijective inter-surface mapping, from which compatible meshes are generated. We then improve the remeshing quality by using a volume-enhanced optimization. In contrast to previous work, our method designs a fast volume-enhanced improvement procedure that directly reduces the isometric distortion of the map between the compatible meshes. Our method also tries to preserve the shapes of the input meshes by projecting the vertices of the compatible meshes onto the input surfaces. Central to this approach is the use of the monotone preconditioned conjugate gradient method, which minimizes the energies effectively and efficiently. Compared with state-of-the-art methods, our method performs about one order of magnitude faster with better remeshing quality. We demonstrate the efficiency and efficacy of our method using various model pairs.
机译:兼容的重新网格化为网格提供了通用的连接结构。现有的兼容重划方法通常遭受高计算成本或质量差的困扰。在本文中,我们提出了一种计算高质量兼容网格的快速方法。给定两个封闭的,定向的,在拓扑上等效的曲面以及一组稀疏的对应地标,我们首先计算一个双射面间映射,从中生成兼容的网格。然后,我们通过使用体积增强的优化来提高重新定型的质量。与以前的工作相比,我们的方法设计了一种快速的体积增强的改进程序,可以直接减少兼容网格之间的贴图的等轴测失真。我们的方法还尝试通过将兼容网格的顶点投影到输入表面上来保留输入网格的形状。这种方法的核心是使用单调预处理共轭梯度法,该方法可以有效地使能量最小化。与最先进的方法相比,我们的方法执行的速度快大约一个数量级,并具有更好的重画质量。我们展示了使用各种模型对的方法的效率和功效。

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