• DocumentCode
    3049937
  • Title

    On automatic determination of varying focal lengths using semidefinite programming

  • Author

    Agrawal, Motilal

  • Author_Institution
    SRI Int., Menlo Park, CA, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    3379
  • Abstract
    We describe a novel approach to the determination of the focal length of a moving camera with rectangular pixels. The principal point of the camera assumed to be known and fixed, whereas the focal length is allowed to vary across the sequence. Given three or more such images and a projective reconstruction, we describe a novel auto-calibration technique to obtain a metric reconstruction. Our technique uses semidefinite programming to recover these focal lengths (and hence the metric reconstruction). Our approach is efficient, well behaved with guaranteed convergence, and can be applied to long sequences of video. We present results for our approach using both simulated and real video sequences.
  • Keywords
    calibration; focal planes; image reconstruction; image resolution; image sequences; mathematical programming; video cameras; video signal processing; auto-calibration technique; metric reconstruction; moving camera; projective reconstruction; rectangular pixel; semidefinite programming; varying focal lengths; video sequences; Automatic programming; Calibration; Computational modeling; Computer vision; Convergence; Costs; Digital cameras; Image reconstruction; Layout; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1421839
  • Filename
    1421839