• DocumentCode
    3405576
  • Title

    Range Image Registration Using an Octree based Matching Strategy

  • Author

    Strand, Marcus ; Erb, Frank ; Dillmann, Ruediger

  • Author_Institution
    Univ. Karlsruhe, Karlsruhe
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    1622
  • Lastpage
    1627
  • Abstract
    Autonomous world modeling is one of the major topics in current robot research. A basic concept hereby is the registration of consecutive range images. Consistent models can only be built with robust registration methods. Already one incorrect registered range image will affect the following registrations and lead to an inconsistent model. Therefore we developed a robust ICP registration method based on an octree matching strategy. This matching strategy could cope with large odometry errors and achieved the generation of consistent 3D models.
  • Keywords
    distance measurement; error analysis; image matching; image registration; iterative methods; octrees; autonomous world modeling; iterative closest point; octree based matching strategy; odometry errors; range image registration; Cameras; Clouds; Image registration; Image resolution; Iterative closest point algorithm; Least squares approximation; Mechatronics; Navigation; Robotics and automation; Robustness; Autonomous Exploration; ICP; Octree; Range Image; Registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303792
  • Filename
    4303792