• DocumentCode
    2002888
  • Title

    A geometrical-based trinocular vision system for edges reconstruction

  • Author

    Hemayed, Elsayed E. ; Farag, Aly A.

  • Author_Institution
    Dept. of Electr. Eng., Louisville Univ., KY, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    162
  • Abstract
    We present a trinocular stereo vision technique that can be used to build a fast, robust description of indoor objects. The proposed technique utilizes the geometrical constraints of the trinocular vision system and considers the uncertainty of image measurements. The technique has been successfully applied to several indoor scenes. The reliability and speed of the proposed system make it particularly suitable for real-time applications such as robot navigation
  • Keywords
    geometry; image matching; image reconstruction; stereo image processing; edges reconstruction; geometrical constraints; geometrical-based trinocular vision system; image measurements uncertainty; indoor objects; indoor scenes; real-time applications; reliability; robot navigation; robust description; speed; trinocular stereo vision technique; Cameras; Computer vision; Image reconstruction; Layout; Machine vision; Measurement uncertainty; Real time systems; Robot vision systems; Robustness; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.723338
  • Filename
    723338