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A Digital Topology-based Method for the Topological Filtering of a Reconstructed Surface

机译:基于数字拓扑的重构表面拓扑过滤方法

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In this paper, we use concepts from digital topology for the topological filtering of reconstructed surfaces. Given a finite set S of sample points in 3D space, we use the voronoi-based algorithm of Amenta & Bern ~1 to reconstruct a piecewise-linear approximation surface in the form of a triangular mesh with vertex set equal to S. A typical surface obtained by means of this algorithm often contains small holes that can be considered as noise. We propose a method to remove the unwanted holes that works as follows. We first embed the triangulated surface in a volumetric representation. Then, we use the 3D-hole closing algorithm of Aktouf et al.~2 to filter the holes by their size and close the small holes that are in general irrelevant to the surface while the larger holes often represent topological features of the surface. We present some experimental results that show that this method allows to automatically and effectively search and suppress unwanted holes in a 3D surface.
机译:在本文中,我们将数字拓扑的概念用于重构曲面的拓扑过滤。给定3D空间中采样点的有限集合S,我们使用基于voronoi的Amenta&Bern〜1算法重建具有顶点集合等于S的三角形网格形式的分段线性近似曲面。通过此算法获得的结果通常包含可被视为噪声的小孔。我们提出了一种去除不需要的孔的方法,其工作原理如下。我们首先将三角化表面嵌入到体积表示中。然后,我们使用Aktouf等人〜2的3D孔封闭算法按孔的大小过滤并封闭通常与表面无关的小孔,而较大的孔通常代表表面的拓扑特征。我们提供了一些实验结果,这些结果表明该方法可以自动有效地搜索和抑制3D表面中不需要的孔。

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