A novel algorithm of occlusions and perspective effects using a 3D object process

Ahmed Gamal Eldin 1 Xavier Descombes 1 Josiane Zerubia 1
1 ARIANA - Inverse problems in earth monitoring
CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes
Abstract : In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point process framework. We apply it for the size estimation of a penguin colony, where we model a penguin colony as an unknown number of 3D objects. The main idea of the proposed approach is to sample some candidate configurations consisting of 3D objects lying in the real plane. A Gibbs energy is define on the configuration space, which takes into account both prior and data information. These configurations are projected onto the image plane. The configurations are modified until convergence using the multiple birth and death optimization algorithm and by measuring the similarity between the projected image of the configuration and the real image. During optimization, the proposed configuration is modeled by a mixed graph which represents all dependencies between the objects, including interaction between neighbor objects and parent-child dependency for occluded objects. We tested our model on synthetic image, and real images.
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Communication dans un congrès
ICASSP 2011 (International Conference on Acoustics, Speech and Signal Processing), May 2011, Prague, Czech Republic. 2011
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Contributeur : Ahmed Gamal Eldin <>
Soumis le : jeudi 12 mai 2011 - 15:21:30
Dernière modification le : mardi 13 septembre 2016 - 01:04:40
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 11:15:51

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Ahmed Gamal Eldin, Xavier Descombes, Josiane Zerubia. A novel algorithm of occlusions and perspective effects using a 3D object process. ICASSP 2011 (International Conference on Acoustics, Speech and Signal Processing), May 2011, Prague, Czech Republic. 2011. <inria-00592449>

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