• DocumentCode
    3278518
  • Title

    Scale ratio ICP for 3D point clouds with different scales

  • Author

    Baowei Lin ; Tamaki, T. ; Raytchev, Bisser ; Kaneda, Kazufumi ; Ichii, K.

  • Author_Institution
    Hiroshima Univ., Hiroshima, Japan
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    2217
  • Lastpage
    2221
  • Abstract
    In this paper we propose a method for matching the scales of 3D point clouds. 3D point sets of the same scene obtained by 3D reconstruction techniques usually differ in scale. To match scales, we estimate the ratio of scales of two given 3D point clouds. By performing PCA of spin images over different scales of two point clouds, two sets of cumulative contribution rate curves are generated. Such sets of curves can be considered to characterize the scale of the given 3D point clouds. To find the scale ratio of two point clouds, we register the two sets of curves by using a variant of ICP that estimates the ratio of scales. Simulations with the Stanford bunny and experimental results with 3D reconstructions of artificial and real scenes demonstrate that the ratio of any 3D point clouds can be effectively used for scale matching.
  • Keywords
    image matching; image reconstruction; iterative methods; principal component analysis; 3D point clouds; 3D reconstruction techniques; PCA; cumulative contribution rate curves; iterative closest point; principal component analysis; scale ratio ICP; scales matching; scales ratio estimation; spin images; 3D point cloud; ICP; registration; scale ratio; spin images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738457
  • Filename
    6738457