• DocumentCode
    419394
  • Title

    Camera self-calibration: a new approach for solving the modulus constraint

  • Author

    Habed, A. ; Boufama, B.

  • Author_Institution
    Sch. of Comput. Sci., Windsor Univ., Ont., Canada
  • Volume
    4
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    116
  • Abstract
    In this paper, the modulus constraint is used to retrieve the scale factors that are responsible for the nonlinearity of Kruppa´s equations. In the case of constant intrinsic parameters, each pair of images identifies a pair of 3D points at infinity whose coordinates are expressed in terms of the scale factors we are looking for. By enforcing the coplanarity constraint on these points, a set of quintic bivariate equations is obtained for each triplet of images. Once the scale factors are calculated, the problems of retrieving the plane at infinity and solving Kruppa´s equations become straightforward and linear.
  • Keywords
    calibration; cameras; image processing; camera self-calibration; constant intrinsic parameter; coplanarity constraint; modulus constraint; quintic bivariate equation; Calibration; Cameras; Computer science; Computer vision; Differential equations; H infinity control; Layout; Nonlinear equations; Pattern recognition; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333719
  • Filename
    1333719