• DocumentCode
    2645362
  • Title

    Epipolar geometry and linear subspace methods: a new approach to weak calibration

  • Author

    Ponce, Jean ; Genc, Yakup

  • Author_Institution
    Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    776
  • Lastpage
    781
  • Abstract
    This paper addresses the problem of estimating the epipolar geometry from point correspondences between two images taken by uncalibrated perspective cameras. It is shown that Jepson´s and Heeger´s linear subspace technique for infinitesimal motion estimation can be generalized to the finite motion case by choosing an appropriate basis for projective space. This yields a linear method for weak calibration. The proposed algorithm has been implemented and tested on both real and synthetic images, and it is compared to other linear and non-linear approaches to weak calibration
  • Keywords
    calibration; motion estimation; epipolar geometry; finite motion; linear subspace; motion estimation; point correspondences; uncalibrated perspective cameras; weak calibration; Calibration; Cameras; Computational geometry; Computer science; Information geometry; Iterative algorithms; Motion estimation; Stereo vision; Testing; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517160
  • Filename
    517160