• DocumentCode
    2381137
  • Title

    HSM3D: Feature-less global 6DOF scan-matching in the Hough/Radon domain

  • Author

    Censi, Andrea ; Carpin, Stefano

  • Author_Institution
    Control & Dynamical Syst. Dept., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    3899
  • Lastpage
    3906
  • Abstract
    This paper presents HSM3D, an algorithm for global rigid 6DOF alignment of 3D point clouds. The algorithm works by projecting the two input sets into the Radon/Hough domain, whose properties allow to decompose the 6DOF search into a series of fast one-dimensional cross-correlations. No planes or other particular features must be present in the input data, and the algorithm is provably complete in the case of noise-free input. The algorithm has been experimentally validated on publicly available data sets.
  • Keywords
    Hough transforms; Radon transforms; image matching; 3D point clouds; 6DOF search; HSM3D; Radon-Hough domain; fast one-dimensional cross-correlations; feature-less global 6DOF scan-matching; Clouds; Iterative algorithms; Iterative closest point algorithm; Iterative methods; Parameter estimation; Robot sensing systems; Robot vision systems; Robotics and automation; Robustness; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152431
  • Filename
    5152431