• DocumentCode
    2469325
  • Title

    Depth from dynamic stereo images

  • Author

    Jiang, Fan ; Weymouth, Terry E.

  • Author_Institution
    Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    250
  • Lastpage
    255
  • Abstract
    A novel depth computation algorithm is described. Based on linear equations derived from the consideration of relative normal velocity, this algorithm determines depth values locally and uniquely from normal velocities. Multiple independently moving objects present no problem for the algorithm. A velocity constraint is implemented to estimate normal velocities from intensity images. Experiments to determine depth values from both synthetic images and real images are presented. The experiments show that the depth-recovery algorithm can recover correct values from intensity images. The accuracy of the depth values depends heavily on the accuracy of the normal velocities
  • Keywords
    computerised pattern recognition; computerised picture processing; computerised picture processing; depth algorithm; depth values; depth-recovery algorithm; dynamic stereo images; intensity images; pattern recognition; range data; velocity constraint; Artificial intelligence; Cameras; Computer vision; Image motion analysis; Laboratories; Nonlinear equations; Nonlinear optics; Optical noise; Stereo vision; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-1952-x
  • Type

    conf

  • DOI
    10.1109/CVPR.1989.37857
  • Filename
    37857