• DocumentCode
    2527984
  • Title

    Binocular versus trinocular stereo

  • Author

    Dhond, Umesh R. ; Aggarwal, J.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    1990
  • fDate
    13-18 May 1990
  • Firstpage
    2045
  • Abstract
    Consideration is given to the twin issues of the gain in accuracy of stereo correspondence and the accompanying increase in computational cost due to the use of a third camera for stereo analysis. The relative performance of binocular and trinocular stereo algorithms on stereo images with known ground truth is evaluated. A technology for comparing the matching performance of stereo algorithms by using real digital elevation maps is developed. Trinocular local matching reduces the percentage of mismatches having large disparity errors by more than one half when compared to binocular matching, while trinocular stereopsis increases the computational cost of local matching over binocular stereopsis by only about one fourth
  • Keywords
    computerised pattern recognition; computerised picture processing; accuracy gain; binocular stereo; computational cost; local matching; stereo correspondence; stereopsis; trinocular stereo; Cameras; Computational efficiency; Computer vision; Contracts; Costs; Data mining; Image analysis; Image recognition; Robot vision systems; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    0-8186-9061-5
  • Type

    conf

  • DOI
    10.1109/ROBOT.1990.126306
  • Filename
    126306