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Wavelet Expansion and High-order Regularization for Multiscale Fluid-motion Estimation

Pierre Dérian 1 Patrick Héas 1 Cédric Herzet 2 Etienne Mémin 1 
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts, Inria Rennes – Bretagne Atlantique
2 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We consider a novel optic flow estimation algorithm based on a wavelet expansion of the velocity field. In particular, we propose an efficient gradient-based estimation algorithm which naturally encompasses the estimation process into a multiresolution framework while avoiding most of the drawbacks common to this kind of hierarchical methods. We then emphasize that the proposed methodology is well-suited to the practical implementation of high-order regularizations. The powerfulness of the proposed algorithm and regularization schemes are finally assessed by simulation results on challenging image sequence of turbulent fluids.
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Submitted on : Wednesday, July 28, 2010 - 12:40:50 PM
Last modification on : Wednesday, February 2, 2022 - 3:59:40 PM
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  • HAL Id : inria-00505780, version 2


Pierre Dérian, Patrick Héas, Cédric Herzet, Etienne Mémin. Wavelet Expansion and High-order Regularization for Multiscale Fluid-motion Estimation. [Research Report] RR-7348, INRIA. 2010. ⟨inria-00505780v2⟩



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