Processing irregular meshes

M. Desbrun
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引用次数: 6

Abstract

Most meshes are usually produced with both topological and geometrical irregularity (arbitrary valence, non-uniform sampling). This has been seen as a flaw hindering subsequent mesh processing, because most of the other signals we manipulate everyday (sound, image, video) are acquired and processed as regularly sampled data. Three-dimensional (3D) signals, be they surfaces or volumes, are however drastically and inherently different. Although the main body of work on mesh processing has focused on semi-regular meshes (on which the usual DSP tools can be extended quite nicely), we have focused on fully irregular meshes. Understanding this problem of irregularity, inherent to 3D sampling, is fundamental in widely different applications ranging from mesh modeling to smoothing, parameterization, remeshing, and to even compression or animation. We show some of our latest results (both theoretical and practical) and also point to the remaining challenges.
不规则网格的处理
大多数网格通常同时具有拓扑和几何不规则性(任意价态、非均匀采样)。这被视为阻碍后续网格处理的缺陷,因为我们日常操作的大多数其他信号(声音,图像,视频)都是作为定期采样数据获取和处理的。然而,三维(3D)信号,无论是表面还是体积,都是截然不同的。虽然网格处理的主要工作集中在半规则网格(通常的DSP工具可以很好地扩展),但我们专注于完全不规则网格。理解这个不规则的问题,固有的3D采样,是基础在广泛不同的应用,从网格建模平滑,参数化,重划分,甚至压缩或动画。我们展示了我们的一些最新成果(包括理论和实践),并指出了仍然存在的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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