• DocumentCode
    2309584
  • Title

    Euclidean reconstruction from constant intrinsic parameters

  • Author

    Heyden, Anders ; Aström, Kalle

  • Author_Institution
    Dept. of Math., Lund Univ., Sweden
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    339
  • Abstract
    A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need “only” to find the correct Euclidean reconstruction among all possible projective reconstructions
  • Keywords
    image reconstruction; image sequences; matrix algebra; Euclidean reconstruction; Kruppa equations; constant intrinsic parameters; projective reconstruction; uncalibrated cameras; Cameras; Councils; Equations; Focusing; Geometry; Image reconstruction; Image sequences; Layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546045
  • Filename
    546045