• DocumentCode
    1734120
  • Title

    Application of neighborhood feature in point clouds registration

  • Author

    He Yong-Xing ; Ou Xin-Liang ; Kuang Xiao-Lan

  • Author_Institution
    Coll. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    838
  • Lastpage
    843
  • Abstract
    A point clouds registration method based on the invariant features of neighborhood points is proposed. Firstly, the target point set are weighted. Secondly, all the corresponding point-pairs are searched by comparing the feature value and then the preliminary registration is completed. Finally, to register accurately by using the ICP algorithm, this has improved the invariant feature. Experiments indicate the good results of the preliminary registration and the better results of the fine registration, which have met the requirement of registering point clouds from different viewpoints.
  • Keywords
    feature extraction; image registration; iterative methods; ICP algorithm; feature value; fine registration; invariant features; neighborhood feature; neighborhood points; point clouds registration method; point-pairs; preliminary registration; Accuracy; Algorithm design and analysis; Gravity; Iterative closest point algorithm; Noise; Registers; Vectors; Features of neighborhood; ICP algorithm; Point clouds; Registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182093
  • Filename
    6182093