• DocumentCode
    1679397
  • Title

    Non-metric calibration of camera lens distortion

  • Author

    Ahmed, Moumen ; Farag, Aly

  • Author_Institution
    Comput. Vision & Image Process. Lab., Louisville Univ., KY, USA
  • Volume
    2
  • fYear
    2001
  • Firstpage
    157
  • Abstract
    This paper addresses the problem of calibrating camera lens distortion, which can be significant in medium to wide angle lenses. Our approach is based on the analysis of distorted images of straight lines. We derive a new distortion measure that can be optimized using nonlinear search techniques to find the best distortion parameters that straighten these lines. Unlike the other existing approaches, we also show how to use this measure to find fast, closed-form solutions to the distortion coefficients. Some experiments to evaluate the performance of this approach on synthetic and real data are reported
  • Keywords
    calibration; cameras; computer vision; nonlinear estimation; parameter estimation; search problems; camera lens distortion; closed-form solutions; distorted image analysis; distortion measure; distortion parameters; non-metric calibration; nonlinear search techniques; optimization; performance; straight lines; vision; wide angle lenses; Calibration; Cameras; Closed-form solution; Computer vision; Distortion measurement; Geometry; Image processing; Layout; Lenses; Nonlinear distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958448
  • Filename
    958448