• DocumentCode
    2461794
  • Title

    Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition

  • Author

    Shashua, Amnon

  • Author_Institution
    Dept. of B&CS, MIT, Cambridge, MA, USA
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    583
  • Lastpage
    590
  • Abstract
    The author addresses the problems of reconstructing 3-D space in a projective framework from two views and of artificially generating novel views of the scene from two given views. It is shown that with the correspondences coming from four non-coplanar points in the scene and the corresponding epipoles, it is possible to define and reconstruct a projective invariant, referred to as projective depth, that can be used later to reconstruct the projective or affine structure of the scene or directly to generate novel views of the scene. The derivation has the advantage that the viewing transformation matrix need not be recovered in the course of computations
  • Keywords
    computer vision; image reconstruction; 3D reconstruction; affine structure; correspondences; epipoles; geometric invariant; projective depth; projective framework; projective invariant; viewing transformation matrix; visual recognition; Artificial intelligence; Calibration; Cameras; Image recognition; Image reconstruction; Impedance matching; Laboratories; Layout; Space technology; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378158
  • Filename
    378158