Variational multi-valued velocity field estimation for transparent sequences

Alonso Ramirez-Manzanares 1 Mariano Rivera 1 Pierre Kornprobst 2 François Lauze 3
2 NEUROMATHCOMP
CRISAM - Inria Sophia Antipolis - Méditerranée , INRIA Rocquencourt, ENS Paris - École normale supérieure - Paris, UNS - Université Nice Sophia Antipolis, CNRS - Centre National de la Recherche Scientifique : UMR8548
Abstract : Motion estimation in sequences with transparencies is an important problem in robotics and medical imaging applications. In this work we propose a variational approach for estimating multi-valued velocity fields in transparent sequences. Starting from existing local motion estimators, we derive a variational model for integrating in space and time such a local information in order to obtain a robust estimation of the multi-valued velocity field. With this approach, we can indeed estimate multi-valued velocity fields which are not necessarily piecewise constant on a layer--each layer can evolve according to a non-parametric optical flow. We show how our approach outperforms existing methods; and we illustrate its capabilities on challenging experiments on both synthetic and real sequences.
Type de document :
Article dans une revue
Journal of Mathematical Imaging and Vision, Springer Verlag, 2011, 40 (3), pp.285--304. 〈10.1007/s10851-011-0260-8〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00845724
Contributeur : Pierre Kornprobst <>
Soumis le : mercredi 17 juillet 2013 - 16:12:11
Dernière modification le : jeudi 11 janvier 2018 - 17:07:59

Identifiants

Collections

Citation

Alonso Ramirez-Manzanares, Mariano Rivera, Pierre Kornprobst, François Lauze. Variational multi-valued velocity field estimation for transparent sequences. Journal of Mathematical Imaging and Vision, Springer Verlag, 2011, 40 (3), pp.285--304. 〈10.1007/s10851-011-0260-8〉. 〈hal-00845724〉

Partager

Métriques

Consultations de la notice

139