• DocumentCode
    1742872
  • Title

    Evaluation of a novel multiple point set registration algorithm

  • Author

    Williams, J.A. ; Bennamoun, M.

  • Author_Institution
    Queensland Univ. of Technol., Brisbane, Qld., Australia
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1007
  • Abstract
    We briefly describe a novel solution to the simultaneous multiple view point registration problem and evaluate its performance in a practical machine vision application. The algorithm involves computation of a constant matrix which encodes the point set registration, from which the optimal rigid transformations are found using a simple and efficient iterative algorithm. We describe this algorithm´s incorporation into a multiple view surface registration system, and present results from experiments on two different sets of real surface data. These results demonstrate that the proposed algorithm is accurate and efficient
  • Keywords
    computer vision; image registration; iterative methods; matrix algebra; optimisation; transforms; constant matrix; iterative algorithm; machine vision; multiple point set registration algorithm; multiple view surface registration system; optimal rigid transformations; simultaneous multiple viewpoint registration problem; Australia; Computer vision; Coordinate measuring machines; Iterative algorithms; Iterative closest point algorithm; Machine vision; Satellite navigation systems; Space technology; Surface reconstruction; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905641
  • Filename
    905641