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
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;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871017
