• DocumentCode
    2448692
  • Title

    A Bayesian segmentation of stereo pairs

  • Author

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

  • Author_Institution
    Inf. Process. Lab., Aristotelian Univ. of Thessaloniki, Greece
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1353
  • Abstract
    A Bayesian scheme is proposed for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair. Three hypotheses are used for the formulation of Bayes decision rules: the first describes the visible foreground areas, the second describes the visible background areas and the last describes the occlusion areas. Experimental results illustrating the performance of the proposed technique are presented and evaluated
  • Keywords
    Bayes methods; image segmentation; stereo image processing; Bayes decision rules; Bayesian segmentation; foreground areas; noisy stereoscopic image pair; occlusion; visible background; Background noise; Bayesian methods; Dynamic programming; Humans; Image segmentation; Laboratories; Pixel; Stereo vision; Telematics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-6536-4
  • Type

    conf

  • DOI
    10.1109/ICME.2000.871017
  • Filename
    871017
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2448692