• DocumentCode
    1748684
  • Title

    Occlusion detection in stereopairs

  • Author

    Triantafyllidis, G.A. ; Tzovaras, D. ; Strintzis, M.G.

  • Author_Institution
    Inf. Process. Lab., Aristotelian Univ. of Thessaloniki, Greece
  • Volume
    1
  • fYear
    2001
  • fDate
    4-7 July 2001
  • Firstpage
    99
  • Abstract
    An efficient technique based on the Bayes test is introduced, for detecting occlusions in a noisy stereoscopic image pair. Two hypotheses are used for the formulation of the Bayes decision rules: the first describes the displaced areas while the other describes the occlusion areas. Experimental results illustrating the performance of the proposed techniques are presented and evaluated.
  • Keywords
    Bayes methods; decision theory; heuristic programming; hidden feature removal; stereo image processing; Bayes decision rules; Bayes test; displaced areas; hypothesis formation; noisy stereoscopic image pair; occlusion detection; performance evaluation; stereopairs; Additive white noise; Cameras; Dynamic programming; Gaussian noise; Geometry; Information processing; Laboratories; Pixel; Stereo vision; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON'2001, Trends in Communications, International Conference on.
  • Conference_Location
    Bratislava, Slovakia
  • Print_ISBN
    0-7803-6490-2
  • Type

    conf

  • DOI
    10.1109/EURCON.2001.937773
  • Filename
    937773
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1748684