• DocumentCode
    2379573
  • Title

    The multiRANSAC algorithm and its application to detect planar homographies

  • Author

    Zuliani, M. ; Kenney, C.S. ; Manjunath, B.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    3
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    A RANSAC based procedure is described for detecting inliers corresponding to multiple models in a given set of data points. The algorithm we present in this paper (called multiRANSAC) on average performs better than traditional approaches based on the sequential application of a standard RANSAC algorithm followed by the removal of the detected set of inliers. We illustrate the effectiveness of our approach on a synthetic example and apply it to the problem of identifying multiple world planes in pairs of images containing dominant planar structures.
  • Keywords
    object detection; inliers set detection; multiRANSAC algorithm; planar homographies detection; Algorithm design and analysis; Application software; Clustering algorithms; Computer vision; Geometry; Image processing; Iterative algorithms; Layout; Optical computing; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530351
  • Filename
    1530351