• DocumentCode
    2472316
  • Title

    Real time vergence control

  • Author

    Olson, Thomas J. ; Potter, Robert D.

  • Author_Institution
    Dept. of Comput. Sci., Rochester Univ., NY, USA
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    404
  • Lastpage
    409
  • Abstract
    Binocular robots whose camera can be independently directed require some mechanism for aiming both cameras at the same world point. The authors describe a mechanism for verging the cameras of the Rochester Robot in real time. The mechanism consists of a discrete control loop driven by an algorithm that estimates a single disparity from the two cameras. Two algorithms for disparity estimation are presented. The first uses the cepstral-transform approach of Y. Yeshuran and E.L. Schwartz (1987), and it is argued that, in this application, the cepstrum is best understood as autocorrelation with an adaptive filter that acts to sharpen peaks in the autocorrelation image. It is also shown that qualitatively similar filters have similar effects, with the limiting case being equivalent to deconvolution. Efficient real-time implementations of the cepstral and deconvolution approaches are described
  • Keywords
    computer vision; computerised control; discrete systems; filtering and prediction theory; position control; robots; Rochester Robot; adaptive filter; autocorrelation; binocular robots; cepstral-transform; computer vision; computerised control; discrete control loop; disparity estimation; position control; real-time vergence control; Cameras; Cepstral analysis; Cepstrum; Charge coupled devices; Charge-coupled image sensors; Head; Machine vision; Real time systems; Robot vision systems; Robotic assembly;
  • 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.1989.37878
  • Filename
    37878