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山东大学学报(工学版) ›› 2009, Vol. 39 ›› Issue (1): 84-86.doi:

• 机械工程 • 上一篇    下一篇

散乱点云边界特征快速提取算法

孙殿柱,朱昌志,李延瑞   

  1. 山东理工大学机械工程学院, 山东 淄博 255091
  • 收稿日期:2008-06-02 修回日期:1900-01-01 出版日期:2009-02-16 发布日期:2009-02-16
  • 通讯作者: 朱昌志

SUN Dianzhu, ZHU Changzhi, LI Yanrui   

  1. School of Mechanical Engineering, Shandong University of Technology, Zibo 255091, China
  • Received:2008-06-02 Revised:1900-01-01 Online:2009-02-16 Published:2009-02-16
  • Contact: ZHU Changzhi

摘要:

摘要:提出一种散乱点云边界特征的快速提取算法,该算法采用R*-tree建立散乱点云空间索引结构,基于该结构快速准确获取局部型面参考点集,建立该点集的基准平面,计算点集内各点到基准平面的距离并将该距离与目标点到基准平面的距离进行比较,识别点云边界特征.实例证明该算法可快速、准确地提取散乱点云的边界特征.

关键词: 关键词:散乱点云;R*-tree;局部型面参考点集;边界特征提取

Abstract:

An improved extraction algorithm of boundary characteristic points was proposed, which includes four steps: first, the spacial

index structure of the scattered pointcloudwas constructed based on the R*tree; second, the local model reference data was

obtained based on the structure and the datum plane was set up; third, the maximum distance between the point of reference data

and datum plane was computed, and the distance between the target point and the datum plane was computed; fourth, the data

boundary characteristic was identified by comparing the two distances. The accuracy and rapidity extraction of scatter data

boundary characteristic was proved by application examples.

Key words: Key words: scattered pointcloud; R*tree; local model reference data; boundary characteristic extraction

中图分类号: 

  • TP391-72
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