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基于移动网格点云精简算法的研究
引用本文:常鑫,郎锐,董建业.基于移动网格点云精简算法的研究[J].测绘工程,2018(5):17-22.
作者姓名:常鑫  郎锐  董建业
作者单位:中国电波传播研究所,山东 青岛,266107
摘    要:针对三维激光点云数据精简问题,提出一种基于移动网格划分的精简算法。基本思想是首先将点云模型空间网格化,再依据距离阈值对网格进行二次网格划分,利用权重值大小筛选出合适点,最后移动点云模型包围盒最小点位置,重新进行二次网格划分和点云筛选,最终完成点云的精简。实验得出,可移动网格划分的点云精简算法在精简效果与时间效率上均具有显著的优势。

关 键 词:激光点云  数据精简  网格划分  移动网格  laser  point  clouds  data  simplification  grid  mesh  generation  moving  grid  mesh

Algorithm of point cloud simplification based on moving grid mesh
CHANG Xin,LANG Rui,DONG Jianye.Algorithm of point cloud simplification based on moving grid mesh[J].Engineering of Surveying and Mapping,2018(5):17-22.
Authors:CHANG Xin  LANG Rui  DONG Jianye
Abstract:Aiming at the simplification of 3D laser point cloud data,a simplified algorithm based on moving mesh is proposed.The basic idea of the algorithm is as follows:first,dividing point cloud model into a number of spatial grids;second,doing the mesh generation like the first step but more finely and with respecting of the distance threshold,then filtering out each appropriate point of the grids generated by the second step according to the weight values;at last,adjusting the position of the minimum point of bounding box of the point cloud model,doing the mesh generation again and filtering out the final points. The experimental result indicates that the proposed simplification method has advantage on simplification effect and time efficiency.
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