Estimation of occlusion and dense motion fields in a bidirectional Bayesian framework

Estimation of occlusion and dense motion fields in a bidirectional Bayesian framework

This paper presents new MRF (Markov random field) models in a bidirectional Bayesian framework for accurate motion and occlusion field estimation. With careful selection of the five free parameters required by the models, good experimental results have been obtained. The resultant computational spee...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 2002-05, Vol.24 (5), p.712-718
Hauptverfasser: Keng Pang Lim, Das, A., Man Nang Chong
Format: Artikel
Sprache:eng
Schlagworte:
Bayesian analysis
Bayesian methods
Bidirectional
Intelligence
Magnetorheological fluids
Mathematical models
Motion estimation
Occlusion
Pattern analysis
Resultants
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Beschreibung
Zusammenfassung:This paper presents new MRF (Markov random field) models in a bidirectional Bayesian framework for accurate motion and occlusion field estimation. With careful selection of the five free parameters required by the models, good experimental results have been obtained. The resultant computational speed is also 5.5 times faster compared with the conventional "iterated conditional mode" relaxation using the proposed fast bidirectional relaxation.
ISSN:0162-8828
1939-3539
DOI:10.1109/34.1000246