Variational assimilation of fluid motion from image sequence

Nicolas Papadakis 1 Etienne Memin 1
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In this paper, a variational technique derived from optimal control theory is used in order to realize a dynamically consistent motion estimation of a whole fluid image sequence. The estimation is conducted through an iterative process involving a forward integration of a given dynamical model followed by a backward integration of an adjoint evolution law. By combining physical conservation laws and image observations, a physically grounded temporal consistency is imposed, and the quality of the motion estimation is significantly improved. The method is validated on two synthetic image sequences provided by numerical simulation of fluid flows and on real world meteorological examples.
Type de document :
Article dans une revue
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2008, 1 (4), pp.343-363. 〈10.1137/080713896〉
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https://hal.archives-ouvertes.fr/hal-00596149
Contributeur : Nicolas Papadakis <>
Soumis le : jeudi 26 mai 2011 - 16:02:44
Dernière modification le : mardi 21 novembre 2017 - 15:22:29

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Nicolas Papadakis, Etienne Memin. Variational assimilation of fluid motion from image sequence. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2008, 1 (4), pp.343-363. 〈10.1137/080713896〉. 〈hal-00596149〉

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