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
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;
Conference_Titel :
Electronics, Circuits and Systems, 2002. 9th International Conference on
Print_ISBN :
0-7803-7596-3
DOI :
10.1109/ICECS.2002.1046423
