• DocumentCode
    442862
  • Title

    Camera self-calibration from triplets of images using bivariate polynomials derived from Kruppa´s equations

  • Author

    Habed, A. ; Boufama, B.

  • Author_Institution
    Departement d´´Informatique, Sherbrooke Univ., Que., Canada
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    In this paper, new equations for the self-calibration of a moving camera with unchanged intrinsic parameters are proposed. Unlike most existing methods that require solving equations in three or more unknowns, our equations are only bivariate. The two unknowns, in our equations, are the scale factors that are responsible for the nonlinearity of Kruppa´s equations due to a triplet of images. Once the scale factors are calculated, Kruppa´s coefficients are linearly retrieved. The results of our experiments, conducted on simulated and real data, are also presented.
  • Keywords
    calibration; cameras; polynomials; Kruppa equations; bivariate polynomials; camera self-calibration; Cameras; Computer science; Differential equations; H infinity control; Image reconstruction; Layout; Nonlinear equations; Polynomials; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530270
  • Filename
    1530270