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Dynamic consistent correlation-variational approach for robust optical flow estimation

Etienne Mémin 1 Dominique Heitz 1 Patrick Héas 1 Johan Carlier 2
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
IRSTEA - Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture, Inria Rennes – Bretagne Atlantique
Abstract : We present in this paper a novel combined scheme dedicated to the measurement of velocity in fluid experimental flows through image sequences. The proposed technique satisfies the Navier-Stokes equations and combines the robustness of correlation techniques with the high density of global variational methods. It can be considered either as a reenforcement of fluid dedicated opticalflow methods towards robustness, or as an enhancement of correlation approaches towards dense information. This results in a physics-based technique that is robust under noise and outliers, while providing a dense motion field. The method was applied on synthetic images and on real experiments in turbulent flows carried out to allow a thorough comparison with a state of the art variational and correlation methods.
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https://hal.inria.fr/hal-00914361
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Submitted on : Thursday, December 5, 2013 - 12:22:35 PM
Last modification on : Saturday, March 20, 2021 - 3:31:08 AM

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Etienne Mémin, Dominique Heitz, Patrick Héas, Johan Carlier. Dynamic consistent correlation-variational approach for robust optical flow estimation. Experiments in Fluids, Springer Verlag (Germany), 2008, 45 (4), pp.595-608. ⟨10.1007/s00348-008-0567-4⟩. ⟨hal-00914361⟩

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