• DocumentCode
    419441
  • Title

    Affine structure from translational motion with varying and unknown focal length

  • Author

    Hammerstedt, P.

  • Author_Institution
    Sch. of Technol. & Soc., Malmo Univ., Sweden
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    120
  • Abstract
    In this paper a method for obtaining affine structure from an image sequence taken by a translating camera with varying and unknown focal length is presented. A general geometric constraint, expressed using the camera matrices, is derived and this constraint is used in a least squares solution of the problem. The proposed algorithm extends the previous result of affine structure recovery from an image sequence with a translating camera with constant intrinsic parameters to the case with a camera with varying and unknown focal length and otherwise known intrinsic parameters. The noise sensitivity of the method is evaluated in simulated experiments.
  • Keywords
    computer vision; image reconstruction; image sequences; least squares approximations; matrix algebra; affine structure recovery; camera matrices; geometric constraint; image sequence; intrinsic parameters; least squares solution; noise sensitivity; translational motion; unknown focal length; Application software; Cameras; Computational modeling; Computer simulation; Computer vision; Image reconstruction; Image sequences; Layout; Least squares methods; Vehicle crash testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334022
  • Filename
    1334022