Multi-Valued Motion Fields Estimation for Transparent Sequences with a Variational Approach

Alonso Ramirez-Manzanares 1 Mariano Rivera 1 Pierre Kornprobst 2 François Lauze 3
2 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : Most optical flow algorithms provide flow fields as single valued functions of the image sequence domains. Only a very few of them attempt to recover multiple motion vectors at given location, which is necessary when some transparent layers are moving independently. In this report we introduce a novel framework for modeling multivalued motion fields, and propose an energy minimization formulation with smoothing terms and terms implementing velocity model competition. We illustrate the capabilities of this approach on synthetic and real sequences.
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[Research Report] RR-5920, INRIA. 2006, pp.25
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Soumis le : mardi 6 juin 2006 - 10:12:53
Dernière modification le : vendredi 25 mai 2018 - 12:02:04
Document(s) archivé(s) le : lundi 20 septembre 2010 - 14:35:53

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Alonso Ramirez-Manzanares, Mariano Rivera, Pierre Kornprobst, François Lauze. Multi-Valued Motion Fields Estimation for Transparent Sequences with a Variational Approach. [Research Report] RR-5920, INRIA. 2006, pp.25. 〈inria-00077285v2〉

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