• DocumentCode
    301178
  • Title

    Binocular estimation of motion and structure from long sequences using optical flow without correspondence

  • Author

    Barron, J.L. ; Eagleson, R.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    193
  • Abstract
    We use the left and right monocular motion and structure parameters of two stereo image sequences (direction of translation, relative depth, observer rotation and rotational acceleration) to compute the absolute depth, absolute translation and absolute translational acceleration for each pair of left and right images. Individual translation parameters computed at each frame are integrated over time using a Kalman filter to provide more accuracy and a “best” estimate of the absolute translation at each time
  • Keywords
    Kalman filters; filtering theory; image sequences; motion estimation; parameter estimation; stereo image processing; Kalman filter; absolute depth; absolute translation; absolute translational acceleration; binocular estimation; binocular motion; frame; left images; left monocular motion; long sequences; observer rotation; optical flow; relative depth; right images; right monocular motion; rotational acceleration; stereo image sequences; structure parameters; translation direction; translation parameters; Acceleration; Computer science; Equations; Image motion analysis; Image sequences; Linear systems; Motion estimation; Optical computing; Optical filters; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537447
  • Filename
    537447