• DocumentCode
    3126916
  • Title

    Three-dimensional scene flow

  • Author

    Vedula, Sundar ; Baker, Simon ; Rander, Peter ; Collins, Robert ; Kanade, Takeo

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    722
  • Abstract
    Scene flow is the three-dimensional motion field of points in the world, just as optical flow is the two-dimensional motion field of points in an image. Any optical flow is simply the projection of the scene flow onto the image plane of a camera. We present a framework for the computation of dense, non-rigid scene flow from optical flow. Our approach leads to straightforward linear algorithms and a classification of the task into three major scenarios: complete instantaneous knowledge of the scene structure; knowledge only of correspondence information; and no knowledge of the scene structure. We also show that multiple estimates of the normal flow cannot be used to estimate dense scene flow directly without some form of smoothing or regularization
  • Keywords
    cameras; image motion analysis; image sequences; 3D scene flow; camera; classification; linear algorithms; optical flow; regularization; smoothing; three-dimensional motion field; three-dimensional scene flow; two-dimensional motion field; Cameras; Ear; Image motion analysis; Layout; Motion estimation; Neutron spin echo; Optical computing; Read only memory; Robots; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
  • Conference_Location
    Kerkyra
  • Print_ISBN
    0-7695-0164-8
  • Type

    conf

  • DOI
    10.1109/ICCV.1999.790293
  • Filename
    790293