• DocumentCode
    2899964
  • Title

    Violating rotating camera geometry: the effect of radial distortion on self-calibration

  • Author

    Tordoff, B. ; Murray, David W.

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    423
  • Abstract
    We show that radial distortion of images invalidates the geometric constraint on which self-calibration of a rotating camera is based on, that is, 3D lines drawn between matched features all intersect at the rotation centre. We develop a geometric picture showing how radial distortion violates this constraint and discuss the implications for self-calibration of a rotating camera. In particular we show that the behaviour of self-calibration is markedly different for pin-cushion and barrel distortion, the latter causing self-calibration to be unreliable or to fail completely. A method is presented for automatically estimating the radial distortion over a sequence of images, when both distortion and camera internal parameters vary. We discuss when such an approach will work and whether accurate automatic calibration of a rotating camera is really possible
  • Keywords
    aberrations; calibration; computational geometry; computer vision; image sequences; self-adjusting systems; barrelling distortion; computer vision; geometric constraint; image sequences; radial distortion; rotating camera geometry; self-calibration; Automatic control; Calibration; Cameras; Electric breakdown; Geometry; Layout; Motion control; Predictive models; Surveillance; TV broadcasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905367
  • Filename
    905367