• DocumentCode
    595413
  • Title

    Homography estimation from correspondences of local elliptical features

  • Author

    Chum, Ondrej ; Matas, Jose

  • Author_Institution
    Dept. of Cybern., CTU in Prague, Prague, Czech Republic
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3236
  • Lastpage
    3239
  • Abstract
    We propose a novel unified approach for homography estimation from two or more correspondences of local elliptical features. The method finds a homography defined by first-order Taylor expansions at two (or more) points. The approximations are affine transformations that are constrained by the ellipse-to-ellipse correspondences. Unlike methods based on projective invariants of conics, the proposed method generates only a single homography model per pair of ellipse correspondences. We show experimentally, that the proposed method generates models of precision comparable or better than the state-of-the-art at lower computational costs.
  • Keywords
    affine transforms; approximation theory; geometry; image processing; affine transformations; approximations; ellipse-to-ellipse correspondences; first-order Taylor expansions; homography estimation; local elliptical features; novel unified approach; point- based homography matrix; projective invariants; single homography model; Approximation methods; Equations; Estimation; Geometry; Mathematical model; Robustness; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460854