三角曲面分割的曲率估计

R. Sacchi, J. Poliakoff, P. Thomas, K. Häfele
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引用次数: 31

摘要

逆向工程的一个重要方面是为CAD系统生产物理对象的数字表示。第一阶段包括对物体表面上的点进行三维坐标测量,并产生一般的非结构化点集,称为点云。一个三角形的表面可以从这样的点云产生,允许复制原始对象的制造。然而,这些三角曲面通常由非常大量的三角形组成,这些三角形的顶点位置误差很小。在许多情况下,原始物体是由许多简单几何物体的部分组成的。我们的目标是将三角形表面分割成少量的组件,每个组件都近似于简单几何形状的一部分。为了支持“区域增长”分割方法,我们开发了曲率估计算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Curvature estimation for segmentation of triangulated surfaces
An important aspect of reverse engineering is the production of digital representations of physical objects for CAD systems. The first stage involves taking 3D coordinate measurements for points on the surface of the object and producing in general an unstructured set of points, called a point cloud. A triangulated surface can be generated from such a point cloud, allowing copies of the original object to be manufactured. However, these triangulated surfaces generally consist of a very large number of triangles with small errors in the positions of their vertices. In many cases the original object is made up of parts of a number of simple geometric objects. Our aim is to segment the triangulated surface into a small number of components, each of which approximates to part of a simple geometric shape. We have developed algorithms for curvature estimation in order to support a 'region growing' method of segmentation.
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