• DocumentCode
    2447722
  • Title

    Reconstructing mirror symmetric scenes from a single view using 2-view stereo geometry

  • Author

    François, Alexandre R J ; Medioni, Gérard G. ; Waupotitsch, Roman

  • Author_Institution
    Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    12
  • Abstract
    We address the problem of 3D reconstruction from a single perspective view of a mirror symmetric scene. We establish the fundamental result that it is geometrically equivalent to observing the scene with two cameras, the cameras being symmetrical with respect to the unknown 3D symmetry plane. All traditional tools of classical 2-view stereo can then be applied, and the concepts of fundamental/essential matrix, epipolar geometry, rectification and disparity hold. However, the problems are greatly simplified here, as the rectification process and the computation of epipolar geometry can be easily performed from the original view only. If the camera is calibrated, we show how to synthesize the symmetric image generated by the same physical camera. An Euclidean reconstruction of the scene can then be computed from the resulting stereo pair. To validate this novel formulation, we have processed many real images, and show examples of 3D reconstruction.
  • Keywords
    image reconstruction; matrix algebra; stereo image processing; symmetry; 2-view stereo geometry; 2-view stereo vision; 3D reconstruction; 3D symmetry plane; Euclidean reconstruction; calibrated camera; disparity; epipolar geometry; fundamental/essential matrix; mirror symmetric scene reconstruction; perspective view; rectification; Cameras; Geometry; Image reconstruction; Intelligent systems; Layout; Mirrors; Stereo image processing; Stereo vision; Symmetric matrices; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1047389
  • Filename
    1047389