Global Optimization and Whole Registration Algorithm of Multi-view 3D Laser Point Cloud

  • LI Cailin ,
  • GUO Baoyun ,
  • JI Zheng
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  • 1. Institute of Architecture and Engineering, Shandong University of Technology, Zibo 255049, China;
    2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received date: 2013-12-05

  Revised date: 2014-10-20

  Online published: 2015-02-14

Supported by

The National Natural Science Foundation of China (No. 41301518);Geographic National Condition Monitoring Engineering Research Center of Sichuan Province (No. GC201512);The Young Teacher Development Support Foundation of Shandong University of Technology(No.114016);Doctoral Scientific Research Foundation of Shandong University of Technology (Nos. 413042;413050)

Abstract

A global optimization and whole registration algorithm of multi-view 3D laser point cloud is presented. Detailed derivation of global optimization adjustment model of multi-view laser point cloud is showed in this paper. This algorithm can handle disordered and scattered multi-view 3D laser point cloud, at the same time optimal transformation parameters can be obtained. Practical 3D laser point cloud data are exemplified for the feasibility and effectiveness of proposed methods.

Cite this article

LI Cailin , GUO Baoyun , JI Zheng . Global Optimization and Whole Registration Algorithm of Multi-view 3D Laser Point Cloud[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(2) : 183 -189 . DOI: 10.11947/j.AGCS.2015.20130737

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