• DocumentCode
    2609082
  • Title

    Partial implementation of the fixation method on real images: direct recovery of motion and shape in the general case

  • Author

    Taalebinezhaad, M. Ali

  • Author_Institution
    Artificial Intelligence Lab., MIT, Cambridge, MA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    400
  • Lastpage
    405
  • Abstract
    A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary rigid scene. This method results in a linear constraint equation which explicitly expresses rotational velocity in terms of translational velocity. By combining this constraint equation with the brightness-change constraint equation, general solutions are found for translational and rotational velocities, and the shape. Avoiding correspondence and optical flow has been the motivation behind this direct method, which uses the brightness gradients directly. Partial implementation of the fixation method on real images has shown encouraging results which support some of the presented algorithms
  • Keywords
    computer vision; computerised picture processing; brightness-change constraint equation; direct recovery of motion; fixation method; general motion vision; linear constraint equation; partial implementation; real images; rotational velocity; shape; translational velocity; Artificial intelligence; Brightness; Equations; Image motion analysis; Noise shaping; Optical computing; Optical noise; Shape; Target tracking; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139723
  • Filename
    139723