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Smoothed Quadratic Energies on Meshes

机译:网格上的平滑二次能量

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摘要

In this article, we study the regularization of quadratic energies that are integrated over discrete domains. This is a fairly general setting, often found in, but not limited to, geometry processing. The standard Tikhonov regularization is widely used such that, for instance, a low-pass filter enforces smoothness of the solution. This approach, however, is independent of the energy and the concrete problem, which leads to artifacts in various applications. Instead, we propose a regularization that enforces a low variation of the energy and is problem specific by construction. Essentially, this approach corresponds to minimization with respect to a different norm. Our construction is generic and can be plugged into any quadratic energy minimization, is simple to implement, and has no significant runtime overhead. We demonstrate this for a number of typical problems and discuss the expected benefits.
机译:在本文中,我们研究了在离散域上积分的二次能量的正则化。这是一个相当普遍的设置,通常在但不限于几何处理中找到。标准的Tikhonov正则化被广泛使用,例如,低通滤波器可增强解决方案的平滑度。然而,这种方法与能量和具体问题无关,这在各种应用中导致伪像。取而代之的是,我们提出一种正则化方法,该方法可强制实现较低的能量变化,并且因结构而异。本质上,此方法对应于相对于不同规范的最小化。我们的构造是通用的,可以插入到任何二次方能量最小化中,易于实现,并且没有明显的运行时开销。我们针对许多典型问题对此进行了演示,并讨论了预期的收益。

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