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An Algorithm for Topology Reconstruction of Scattered Point Cloud in Reverse Engineering

机译:逆向工程分散点云拓扑重建算法

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Based on the idea of generating NC tool-path from the point cloud directly, the topology reconstruction methods of scattered point cloud are emphatically studied in this paper. The scattered point cloud is divided at equal intervals and stored in link list structure in the process of topology reconstruction. In each data region, the points are reduced and projected to a middle slice plane, obtaining a set of scattered points. A double-mapping algorithm based on orthogonal projection theory, which aims to sort the scattered points on a slice plane, is presented. Each point and its neighborhood can easily be searched by this sorting method and the limitation of the method using the natural adjacent sequence of points is also researched. It aims to develop a judge criterion of sorting sequence by computing the vector locating trend of the current point with its neighborhood to further improve the double-mapping algorithm and the topology of the slice data is fully reconstructed.
机译:基于直接从点云生成NC工具路径的想法,本文重点研究了散射点云的拓扑重建方法。散射点云以相等的间隔划分,​​并存储在拓扑重建过程中的链接列表结构中。在每个数据区域中,点减少并投影到中间切片平面,获得一组散射点。提出了一种基于正交投影理论的双映射算法,其旨在对切片平面上的分散点进行排序。还可以通过该分类方法容易地搜索每个点及其邻域,并且还研究了使用自然相邻点序列的方法的限制。它旨在通过计算当前点的矢量定位趋势来开发分类序列的判断标准,以进一步改善双映射算法,并且完全重建切片数据的拓扑。

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