• DocumentCode
    2346293
  • Title

    Two-body segmentation from two perspective views

  • Author

    Wolf, Lior ; Shashua, Amnon

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Abstract
    We consider a scene containing two independently and generally moving objects, viewed by two general perspective views. Using matching points arising from both objects simultaneously we derive a geometrical constraint, applicable to points from both objects, we call the segmentation matrix. We then use this constraint in order to recover the fundamental matrices associated with, each object, or simply to segment the scene into the two objects. Moreover, when the two bodies move in pure translation relative to each other we can both segment the scene and recover the affine calibration (homography at infinity) of the camera geometry. Unlike algorithms suggested in the past we need only two images, we work with general projective cameras (rather than affine or orthographic) and with general body motion, and no prior information beyond point matches is required.
  • Keywords
    image segmentation; affine calibration; fundamental matrices; geometrical constraint; moving objects; scene; segmentation; segmentation matrix; Calibration; Cameras; Computer science; Geometry; H infinity control; Image segmentation; Impedance matching; Layout; Solid modeling; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1272-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2001.990485
  • Filename
    990485