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

^*Kontaktforfatter

Publikation: Konferencebidrag uden forlag/tidsskrift › Paper uden forlag/tidsskrift › Forskning › 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.

Originalsprog	Engelsk
Publikationsdato	2000
Antal sider	4
Status	Udgivet - 2000
Begivenhed	2000 IEEE International Conference on Multimedia and Expo (ICME 2000) - New York, NY, USA Varighed: 30 jul. 2000 → 2 aug. 2000

Konference

Konference	2000 IEEE International Conference on Multimedia and Expo (ICME 2000)
Land/Område	USA
By	New York, NY
Periode	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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AU - Triantafyllidis, G. A.

AU - Tzovaras, D.

AU - Strintzis, M. G.

PY - 2000

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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.

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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

Konference

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