对偶域外推

B. Lévy
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引用次数: 77

摘要

多边形网格的形状优化和表面整流是近年来研究的热点。现有的方法要么要求曲面的边界固定,要么只适用于封闭曲面。在本文中,我们提出了一种计算自然边界的新方法。这使得不仅可以平滑现有的几何形状,而且可以在现有边界之外推断其形状。我们的方法是基于曲面的全局参数化和曲面边缘离散化的曲率平方的最小化。所构造的曲面近似于最小能量曲面(MES)。使用全局参数化可以完全解耦外部公平性(表面平滑)和内部公平性(网格质量)。此外,参数空间为用户提供了一种控制曲面形状的新手段。当用作几何滤波器时,我们的方法计算出与原始网格离散共形的光滑网格。这允许平滑纹理网格而不引入扭曲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual domain extrapolation
Shape optimization and surface fairing for polygon meshes have been active research areas for the last few years. Existing approaches either require the border of the surface to be fixed, or are only applicable to closed surfaces. In this paper, we propose a new approach, that computes natural boundaries. This makes it possible not only to smooth an existing geometry, but also to extrapolate its shape beyond the existing border. Our approach is based on a global parameterization of the surface and on a minimization of the squared curvatures, discretized on the edges of the surface. The so-constructed surface is an approximation of a minimal energy surface (MES). Using a global parameterization makes it possible to completely decouple the outer fairness (surface smoothness) from the inner fairness (mesh quality). In addition, the parameter space provides the user with a new means of controlling the shape of the surface. When used as a geometry filter, our approach computes a smoothed mesh that is discrete conformal to the original one. This allows smoothing textured meshes without introducing distortions.
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