• DocumentCode
    461925
  • Title

    Automatic Registration of Multiple Range Images by the Local Log-Polar Range Images

  • Author

    Masuda, Takeshi

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    216
  • Lastpage
    223
  • Abstract
    We propose a method for automatic registration of multiple range images by matching invariant feature vectors generated from the local log-polar range images. Point pairs are corresponded by finding the nearest neighbor of invariant feature vectors. The correspondence is validated, and the pairwise transformations between the input range images are determined by using the RANSAC algorithm. The registration of all input range images are determined by constructing the view tree of the input range images. The registration result of the proposed method is used as the initial value of a fine registration methods for object shape modeling.
  • Keywords
    feature extraction; image matching; image registration; RANSAC algorithm; automatic multiple range image registration; invariant feature vectors; log-polar range images; object shape modeling; pairwise transformations; Computer simulation; Hardware; Image sampling; Nearest neighbor searches; Object recognition; Optical sensors; Pixel; Robot kinematics; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing, Visualization, and Transmission, Third International Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-7695-2825-2
  • Type

    conf

  • DOI
    10.1109/3DPVT.2006.35
  • Filename
    4155730