• DocumentCode
    2087888
  • Title

    Affine Invariance Revisited

  • Author

    Begelfor, Evgeni ; Werman, Michael

  • Author_Institution
    Hebrew University of Jerusalem
  • Volume
    2
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    2087
  • Lastpage
    2094
  • Abstract
    This paper proposes a Riemannian geometric framework to compute averages and distributions of point configurations so that different configurations up to affine transformations are considered to be the same. The algorithms are fast and proven to be robust both theoretically and empirically. The utility of this framework is shown in a number of affine invariant clustering algorithms on image point data.
  • Keywords
    Clustering algorithms; Computer science; Computer vision; Covariance matrix; Distributed computing; Geometry; Probability distribution; Robustness; Shape; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2597-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2006.50
  • Filename
    1641009
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2087888