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Cylinder Detection in Large-Scale Point Cloud of Pipeline Plant

机译:大型管道厂点云中的气缸检测

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摘要

The huge number of points scanned from pipeline plants make the plant reconstruction very difficult. Traditional cylinder detection methods cannot be applied directly due to the high computational complexity. In this paper, we explore the structural characteristics of point cloud in pipeline plants and define a structure feature. Based on the structure feature, we propose a hierarchical structure detection and decomposition method that reduces the difficult pipeline-plant reconstruction problem in R3 into a set of simple circle detection problems in R2. Experiments with industrial applications are presented, which demonstrate the efficiency of the proposed structure detection method.
机译:从管道工厂扫描的大量点使工厂重建非常困难。由于计算量大,传统的气缸检测方法无法直接应用。在本文中,我们探索了管线工厂中点云的结构特征,并定义了结构特征。根据结构特征,提出了一种层次结构的检测分解方法,将R 3 中困难的管道工厂重构问题简化为R 2 中的一组简单圆检测问题。 sup>。提出了工业应用实验,证明了所提出的结构检测方法的效率。

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