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

机译:逆向工程中散乱点云的拓扑重构算法

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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 doublemapping 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:本文基于直接从点云生成数控刀具路径的思想,着重研究了散乱点云的拓扑重构方法。在拓扑重建过程中,将分散的点云以相等的间隔划分并存储在链接列表结构中。在每个数据区域中,减少点并将其投影到中间切片平面,以获得一组分散的点。提出了一种基于正交投影理论的双重映射算法,旨在对切片平面上的散射点进行排序。通过这种排序方法可以轻松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局限性。其目的是通过计算当前点及其邻域的向量定位趋势来发展排序顺序的判断标准,以进一步改进双重映射算法,并充分重建切片数据的拓扑结构。

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