A Bayesian segmentation of stereopairs

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

A Bayesian segmentation of stereopairs

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

^*Corresponding author for this work

Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review

Abstract

A Bayesian scheme is proposed in this paper, 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 of the 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.

Original language	English
Publication date	2000
Number of pages	4
Publication status	Published - 2000
Event	2000 IEEE International Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States Duration: 30 Jul 2000 → 2 Aug 2000

Conference

Conference	2000 IEEE International Conference on Multimedia and Expo (ICME 2000)
Country/Territory	United States
City	New York, NY
Period	30/07/2000 → 02/08/2000

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title = "A Bayesian segmentation of stereopairs",

abstract = "A Bayesian scheme is proposed in this paper, 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 of the 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.",

author = "Triantafyllidis, {G. A.} and D. Tzovaras and Strintzis, {M. G.}",

year = "2000",

language = "English",

pages = "1353--1356",

note = "2000 IEEE International Conference on Multimedia and Expo (ICME 2000) ; Conference date: 30-07-2000 Through 02-08-2000",

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TY - CONF

T1 - A Bayesian segmentation of stereopairs

AU - Triantafyllidis, G. A.

AU - Tzovaras, D.

AU - Strintzis, M. G.

PY - 2000

Y1 - 2000

N2 - A Bayesian scheme is proposed in this paper, 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 of the 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.

AB - A Bayesian scheme is proposed in this paper, 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 of the 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.

UR - http://www.scopus.com/inward/record.url?scp=0034508666&partnerID=8YFLogxK

M3 - Paper without publisher/journal

AN - SCOPUS:0034508666

SP - 1353

EP - 1356

T2 - 2000 IEEE International Conference on Multimedia and Expo (ICME 2000)

Y2 - 30 July 2000 through 2 August 2000

ER -

A Bayesian segmentation of stereopairs

Abstract

Conference

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