• DocumentCode
    979098
  • Title

    Motion field and optical flow: qualitative properties

  • Author

    Verri, Alessandro ; Poggio, Tomaso

  • Author_Institution
    Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • Volume
    11
  • Issue
    5
  • fYear
    1989
  • fDate
    5/1/1989 12:00:00 AM
  • Firstpage
    490
  • Lastpage
    498
  • Abstract
    It is shown that the motion field the 2-D vector field which is the perspective projection on the image plane of the 3-D velocity field of a moving scene, and the optical flow, defined as the estimate of the motion field which can be derived from the first-order variation of the image brightness pattern, are in general different, unless special conditions are satisfied. Therefore, dense optical flow is often ill-suited for computing structure from motion and for reconstructing the 3-D velocity field by algorithms which require a locally accurate estimate of the motion field. A different use of the optical flow is suggested. It is shown that the (smoothed) optical flow and the motion field can be interpreted as vector fields tangent to flows of planar dynamical systems. Stable qualitative properties of the motion field, which give useful informations about the 3-D velocity field and the 3-D structure of the scene, usually can be obtained from the optical flow. The idea is supported by results from the theory of structural stability of dynamical systems
  • Keywords
    computer vision; 2-D vector field; 3-D velocity field; computer vision; motion field; optical flow; qualitative properties; Artificial intelligence; Biomedical optical imaging; Brightness; Image motion analysis; Image reconstruction; Laboratories; Layout; Motion estimation; Optical computing; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.24781
  • Filename
    24781