• DocumentCode
    1378045
  • Title

    Affine structure from line correspondences with uncalibrated affine cameras

  • Author

    Quan, Long ; Kanade, Takeo

  • Author_Institution
    CNRS, Montbonnot, France
  • Volume
    19
  • Issue
    8
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    834
  • Lastpage
    845
  • Abstract
    This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of “line directions” into 2D projective reconstruction of “points”. In addition, a line-based factorization method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm
  • Keywords
    image reconstruction; image sequences; 3D affine reconstruction; 3D affine shape; affine structure; image sequences; line correspondences; line-based factorization method; linear algorithm; one-dimensional projective camera; redundant views; uncalibrated affine cameras; Cameras; Image converters; Image reconstruction; Image segmentation; Image sequences; Motion estimation; Robustness; Shape; Tensile stress;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.608285
  • Filename
    608285