• DocumentCode
    2300140
  • Title

    Simplifying multiple motion and structure analysis using planar parallax and image warping

  • Author

    Sawhney, Harpreet S.

  • Author_Institution
    Machine Vision Group, IBM Almaden Res. Center, San Jose, CA, USA
  • fYear
    1994
  • fDate
    11-12 Nov 1994
  • Firstpage
    104
  • Lastpage
    109
  • Abstract
    Presents a formulation for 3D motion and structure analysis using motion parallax defined with respect to an arbitrary plane in the environment. It is shown that if an image coordinate system is warped using plane projective transformation with respect to a reference view, the residual image motion is dependent only on the epipoles and has a simple relation to the 3D structure. Our computational scheme avoids point/line correspondence and is based on hierarchical estimation and image warping working directly with spatiotemporal image intensities. Results on real images demonstrate how this analysis can be used to simplify ego and object motion segmentation
  • Keywords
    motion estimation; 3D motion analysis; 3D structure analysis; computational scheme; ego motion; epipoles; hierarchical estimation; image coordinate system; image warping; motion parallax; motion segmentation; multiple motion analysis; object motion; planar parallax; plane projective transformation; reference view; residual image motion; spatiotemporal image intensities; Cameras; Computer vision; Image analysis; Image motion analysis; Image reconstruction; Image segmentation; Linear approximation; Machine vision; Motion analysis; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6435-5
  • Type

    conf

  • DOI
    10.1109/MNRAO.1994.346248
  • Filename
    346248