• DocumentCode
    3549174
  • Title

    A minimal solution for relative pose with unknown focal length

  • Author

    Stewénius, Henrik ; Nister, David ; Kahl, Fredrik ; Schaffalitzky, Frederik

  • Author_Institution
    Lund Univ., Sweden
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    789
  • Abstract
    Assume that we have two perspective images with known intrinsic parameters except for an unknown common focal length. It is a minimally constrained problem to find the relative orientation between the two images given six corresponding points. We present an efficient solution to the problem and show that there are 15 solutions in general (including complex solutions). To the best of our knowledge this was a previously unsolved problem. The solutions are found through eigen-decomposition of a 15×15 matrix. The matrix itself is generated in closed form. We demonstrate through practical experiments that the algorithm is correct and numerically stable.
  • Keywords
    computer vision; image reconstruction; matrix decomposition; known intrinsic parameters; matrix eigen-decomposition; minimally constrained problem; perspective images; relative pose; unknown common focal length; Cameras; Computational geometry; Computer vision; Engines; Equations; Image reconstruction; Noise measurement; Stability analysis; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.36
  • Filename
    1467523