• DocumentCode
    3690013
  • Title

    Automatic registration of tree point clouds from terrestrial laser scanning

  • Author

    Guiyun Zhou;Shuai Cao;Zhongxuan Sun

  • Author_Institution
    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    561
  • Lastpage
    564
  • Abstract
    Multiple scans are generally required to fully reconstruct three-dimensional models of botanical trees. An algorithm for the automatic registration of tree point clouds from terrestrial laser scanning is proposed in this letter. The method extracts skeletons from the point clouds and conducts skeleton-based registration automatically. It uses a closed-form solution for the fine registration of the skeletons. An ICP procedure is applied to the roughly aligned tree point clouds to refine registration results of the skeleton-based method. Two example trees are registered using the proposed algorithm. The algorithm does not require a perfect skeleton to be extracted. No manual coarse registration is needed. The algorithm runs slower than our previously proposed method but with better registration accuracy. The algorithm contributes to the automatic marker-free tree point cloud registration and improves the registration accuracy of existing methods.
  • Keywords
    "Skeleton","Three-dimensional displays","Vegetation","Iterative closest point algorithm","Approximation algorithms","Solid modeling","Closed-form solutions"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7325825
  • Filename
    7325825