基于距离图像的工业管道自动CAD建模

F. Goulette
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引用次数: 23

摘要

本文提出了一种利用距离图像自动获取工业管道CAD模型的方法。这些模型基于两个几何基元,圆柱和鸟居,这足以代表管道的大部分。图像是用一种精确的远程激光测距传感器获得的,该传感器是为工业结构的逆向工程而开发的。自动CAD建模的关键问题是将数据自动分割成与所需原语相对应的点子集。为此,我们使用微分几何将曲率中心的直线分割成直线和曲线部分,分别对应于原始图像的圆柱体和环面部分。微分几何结果是有噪声和偏置的,我们使用最优方法来计算曲率中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic CAD modeling of industrial pipes from range images
We present in this paper a method to obtain automatically CAD models of industrial pipes from range images. The models are based on two geometric primitives, cylinders and torii, which are enough to represent most parts of the pipes. The images are obtained with an accurate long-distance laser range sensor developed for reverse engineering in industrial structures. The key issue for automatic CAD modeling is the automatic segmentation of the data into subsets of points corresponding to the desired primitives. To do so, we use differential geometry to segment lines of centers of curvature into straight and curved parts, corresponding to the cylinder and torus parts of the original image. Differential geometry results being noisy and biased, we use an optimal approach for the computation of centers of curvature.
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