A compound Bayes test for detection of occlusion and visible background and foreground areas in stereo

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2nd International Workshop on Digital and Computational Video, DCV 2001
Number of pages8
PublisherIEEE Computer Society Press
Publication date2001
Pages102-109
Article number929948
ISBN (Print)9780769511108
DOIs
Publication statusPublished - 2001
Event2nd International Workshop on Digital and Computational Video, DCV 2001 - Tampa, FL, United States
Duration: 8 Feb 20019 Feb 2001

Conference

Conference2nd International Workshop on Digital and Computational Video, DCV 2001
Country/TerritoryUnited States
CityTampa, FL
Period08/02/200109/02/2001
Sponsorfor Digital and Computational Video, University of South Florida, Center
SeriesProceedings - 2nd International Workshop on Digital and Computational Video, DCV 2001

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