一种无翻转畸变能量的分裂方案

Oded Stein, Jiajin Li, J. Solomon
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引用次数: 6

摘要

我们介绍了一种鲁棒优化方法,用于无翻转畸变能量,例如在参数化,变形和体积对应中。这种方法可以最小化各种畸变能量,如对称狄利克雷能量和我们的新对称梯度能量。我们识别并利用畸变能量的特殊结构,采用算子分裂技术,提出了一种新的交替方向乘法器(ADMM)算法来处理畸变能量的非凸、非光滑特性。该方案是一种有效的方法,其中全局步骤涉及单个矩阵乘法,局部步骤是高度并行化的每个三角形/每个四面体的封闭形式表达式。所得到的通用优化算法在初始数据和优化过程中对翻转三角形和四面体具有鲁棒性。我们在一定条件下建立了我们提出的算法的收敛性,并演示了参数化,变形和体积对应的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Splitting Scheme for Flip-Free Distortion Energies
We introduce a robust optimization method for flip-free distortion energies used, for example, in parametrization, deformation, and volume correspondence. This method can minimize a variety of distortion energies, such as the symmetric Dirichlet energy and our new symmetric gradient energy. We identify and exploit the special structure of distortion energies to employ an operator splitting technique, leading us to propose a novel Alternating Direction Method of Multipliers (ADMM) algorithm to deal with the non-convex, non-smooth nature of distortion energies. The scheme results in an efficient method where the global step involves a single matrix multiplication and the local steps are closed-form per-triangle/per-tetrahedron expressions that are highly parallelizable. The resulting general-purpose optimization algorithm exhibits robustness to flipped triangles and tetrahedra in initial data as well as during the optimization. We establish the convergence of our proposed algorithm under certain conditions and demonstrate applications to parametrization, deformation, and volume correspondence.
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