DocumentCode
2437499
Title
Detection of occlusion and visible background and foreground areas in stereo image pairs
Author
Triantafyllidis, George A ; Tzovaras, D. ; Strintzis, M.G.
Author_Institution
Informatics & Telematics Inst., Thessaloniki, Greece
Volume
3
fYear
2002
fDate
2002
Firstpage
1019
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 a compound Bayes decision rules. Experimental results illustrating the performance of the proposed techniques are presented and evaluated.
Keywords
Bayes methods; hidden feature removal; image coding; image recognition; optical correlation; stereo image processing; Bayes decision rules; Bayes test; image correlation; noisy stereoscopic image pairs; stereo image coding; stereo image pair occlusion detection/identification; stereo image processing/analysis; visible background/foreground area detection; Additive white noise; Background noise; Cameras; Gaussian noise; Image analysis; Informatics; Pixel; Stereo vision; Telematics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2002. 9th International Conference on
Print_ISBN
0-7803-7596-3
Type
conf
DOI
10.1109/ICECS.2002.1046423
Filename
1046423
Link To Document