• DocumentCode
    2679499
  • Title

    Detailed 3D mapping based on image edge-point ICP and recovery from registration failure

  • Author

    Tomono, Masahiro

  • Author_Institution
    Future Robot. Technol. Center, Chiba Inst. of Technol., Chiba, Japan
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    1164
  • Lastpage
    1169
  • Abstract
    This paper presents a method of 3D mapping using a binocular stereo camera with automatic recovery from registration failure. We employ edge points as map element, and apply a variant of ICP algorithm to the inter-frame registration. The method detects failure in the registration due to erratic camera motion or moving objects and recovers from the failure by searching a good image to resume the registration using edge-point SIFT descriptors. In experiments, our method successfully coped with registration failure in 3D mapping in indoor and outdoor environments under various conditions.
  • Keywords
    image registration; iterative methods; motion estimation; stereo image processing; transforms; 3D mapping; automatic recovery; binocular stereo camera; edge-point SIFT descriptor; image edge-point ICP; interframe registration; iterative closest point; registration failure; scale invariant feature transform; Cameras; Image edge detection; Image reconstruction; Iterative closest point algorithm; Motion detection; Object detection; Resumes; Robot vision systems; Robustness; Simultaneous localization and mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354114
  • Filename
    5354114