• DocumentCode
    2174862
  • Title

    Mirrors in motion: epipolar geometry and motion estimation

  • Author

    Geyer, Christopher ; Daniilidis, Kostas

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • fYear
    2003
  • fDate
    13-16 Oct. 2003
  • Firstpage
    766
  • Abstract
    In this paper we consider the images taken from pairs of parabolic catadioptric cameras separated by discrete motions. Despite the nonlinearity of the projection model, the epipolar geometry arising from such a system, like the perspective case, can be encoded in a bilinear form, the catadioptric fundamental matrix. We show that all such matrices have equal Lorentzian singular values, and they define a nine-dimensional manifold in the space of 4 × 4 matrices. Furthermore, this manifold can be identified with a quotient of two Lie groups. We present a method to estimate a matrix in this space, so as to obtain an estimate of the motion. We show that the estimation procedures are robust to modest deviations from the ideal assumptions.
  • Keywords
    Lie groups; cameras; computational geometry; encoding; matrix algebra; motion estimation; 9D manifold; Lie groups; Lorentzian singular values; bilinear coding; catadioptric fundamental matrix; discrete motions; epipolar geometry; matrix estimation; mirror motion; motion estimation; nonlinearity; parabolic catadioptric cameras; projection model; Cameras; Geometry; Mirrors; Motion estimation; Navigation; Robot sensing systems; Robot vision systems; Robustness; Solid modeling; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
  • Conference_Location
    Nice, France
  • Print_ISBN
    0-7695-1950-4
  • Type

    conf

  • DOI
    10.1109/ICCV.2003.1238426
  • Filename
    1238426