• DocumentCode
    3549214
  • Title

    Analytically solving radial distortion parameters

  • Author

    Graf, Simone ; Hanning, Tobias

  • Author_Institution
    FORWISS, Passau Univ., Germany
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    1104
  • Abstract
    Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization problem in the final step of a calibration algorithm. This neglects the fact that given the projection matrix and the calibration data the parameters of a radial distortion can be determined analytically. In this article we show that the problem can be solved in a closed form. We present an algorithm in which this is done and compare it to classic approaches.
  • Keywords
    calibration; cameras; computer vision; image reconstruction; optimisation; camera calibration algorithm; computer vision; image reconstruction; lens distortion mapping; nonlinear optimization; projection matrix; radial distortion parameter; Algorithm design and analysis; Application software; Calibration; Cameras; Computer vision; Lenses; Nonlinear distortion; Parameter estimation; Polynomials;
  • 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.2005.70
  • Filename
    1467566