高级检索

激光雷达扫描数据的快速三角剖分及局部优化

未永飞, 杜正春, 姚振强

未永飞, 杜正春, 姚振强. 激光雷达扫描数据的快速三角剖分及局部优化[J]. 激光技术, 2009, 33(6): 642-644,647. DOI: 10.3969/j.issn.1001-3806.2009.06.023
引用本文: 未永飞, 杜正春, 姚振强. 激光雷达扫描数据的快速三角剖分及局部优化[J]. 激光技术, 2009, 33(6): 642-644,647. DOI: 10.3969/j.issn.1001-3806.2009.06.023
WEI Yong-fei, DU Zheng-chun, YAO Zhen-qiang. Fast triangulation and local optimization for scan data of laser radar[J]. LASER TECHNOLOGY, 2009, 33(6): 642-644,647. DOI: 10.3969/j.issn.1001-3806.2009.06.023
Citation: WEI Yong-fei, DU Zheng-chun, YAO Zhen-qiang. Fast triangulation and local optimization for scan data of laser radar[J]. LASER TECHNOLOGY, 2009, 33(6): 642-644,647. DOI: 10.3969/j.issn.1001-3806.2009.06.023

激光雷达扫描数据的快速三角剖分及局部优化

基金项目: 

国家自然科学基金资助项目(50805094);国家九七三重点基础研究发展计划资助项目(2006CB705400)

详细信息
    作者简介:

    未永飞(1983-),男,硕士研究生,主要从事反求工程方面的研究.

    通讯作者:

    杜正春,E-mail:zcdu@sjtu.edu.cn

  • 中图分类号: TP391

Fast triangulation and local optimization for scan data of laser radar

  • 摘要: 为了研究维激光雷达测量所得点云数据的三角构网,根据激光雷达逐行扫描特点,采用了改进的三角剖分方法,对点云数据进行不规则三角网格划分.基于激光雷达点云数据位置拓扑信息,分析了相邻扫描线之间数据点的相对位置关系,利用几何关系进行初步配对构网;并结合经典法则对初始网格进行局部优化,得到最终三角网;同时,对优化前后的三角网,提出一种新的评价法则进行剖分效果对比.结果表明,充分利用点云特点进行三角剖分可改进算法.所提出的剖分效果评价法可帮助检验构网质量.
    Abstract: In order to study the triangulation for the point cloud data collected by a three-dimension laser radar,in accordance with the line-by-line characteristics of laser radar scanning,an improved Delaunay triangulation method was proposed to mesh the point cloud data as an irregular triangulation network.Based on the geometric topology location information among radar point cloud data,focusing on the position relationship between adjacent scanning line of the point data,a preliminary match network was obtained according to their geometric relationship.A reasonable triangulation network for the object surface was acquired by means of local optimization on initial mesh by Delaunay rule.Meanwhile,a new judging rule was proposed to contrast the triangulation before and after the optimization on the network.The result shows that triangulation for point cloud with full use of its own characteristics can improve the speed of the algorithm obviously,and the rule for judging the triangulation can be used to evaluate the quality of network.
  • [1]

    WU J J,WANG Q F,HUANG Y B,et al.Review of surface reconstruction methods in reverse engineering[J].Journal of Engineering Graphics,2004,25(2):133-142(in Chinese).

    [2]

    OHTAKE Y,BELYAEV A,SEIDEL H P.A composite approach to meshing scattered data[J].Graphical Models,2006,68(3):255-267.

    [3]

    ZHANG M K,RAO X X,ZHONG Ch H.Reverse engineering and technology of surface reconstruction[J].Modern Manufacturing Engineering,2006(4):53-54(in Chinese).

    [4]

    RÉMI A,RAPHAËLLE C,SAMIR A.A flexible framework for surface reconstruction from large point sets[J].Computers Graphics,2007,31(2):190-204.

    [5]

    THIERRY D K,MARC V K,MAARTEN L.Generating realistic terrains with higher-order Delaunay triangulations[J].Computational Geometry,2007,36(1):52-65.

    [6]

    TSAI V J D.Delaunay triangulations in TIN creation:an overview and a linear-time algorithm[J].International Journal of Geographical Information Science,1993,7(6):501-524.

    [7]

    GAO Zh,ZHONG S D,SONG L H.3D-model reconstruction based on data of laser radar[J].Chinese Journal of Scientific Instrument,2004,25(4):495-499(in Chinese).

    [8]

    TSE R,GOLD C,KIDNER D.Using the delaunay triangulation/voronoi diagram to extract building Information from raw LIDAR data[C] //International Symposium on Voronoi Diagrams in Science and Engineering.Glamorgan,United Kingdom:IEEE Computer Society,2007:222-229.

    [9]

    LÜ Ch F,DU Zh Ch.Chassis positioning system based on the laser radar survey technology[J].Laser Technology,2007,31(6):596-601(in Chinese).

计量
  • 文章访问数:  1
  • HTML全文浏览量:  0
  • PDF下载量:  4
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-09-01
  • 修回日期:  2008-10-19
  • 发布日期:  2009-12-24

目录

    /

    返回文章
    返回