DocumentCode
3192367
Title
A compound Bayes test for detection of occlusion and visible background and foreground areas in stereo
Author
Triantafyllidis, G.A. ; Tzovaras, D. ; Strintzis, M.G.
Author_Institution
Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
fYear
2001
fDate
2001
Firstpage
102
Lastpage
109
Abstract
An efficient technique based on the Bayes test is introduced in this paper, for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair. Four hypotheses are used for the formulation of compound Bayes decision rules. Experimental results illustrating the performance of the proposed techniques are presented and evaluated
Keywords
Bayes methods; feature extraction; stereo image processing; Bayes decision rules; compound Bayes test; noisy stereoscopic image pair; occlusion detection; visible background detection; visible foreground detection; Additive white noise; Background noise; Cameras; Data compression; Gaussian noise; Information processing; Laboratories; Pixel; Stereo vision; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital and Computational Video, 2001. Proceedings. Second International Workshop on
Conference_Location
Tampa, FL
Print_ISBN
0-7695-1110-4
Type
conf
DOI
10.1109/DCV.2001.929948
Filename
929948
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