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Wavelet-based fluid motion estimation

Pierre Dérian 1, * Patrick Héas 1 Cédric Herzet 1 Etienne Mémin 1 
* Corresponding author
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
Abstract : Based on a wavelet expansion of the velocity field, we present a novel optical flow algorithm dedicated to the estimation of continuous motion fields such as fluid flows. This scale-space representation, associated to a simple gradient-based optimization algorithm, naturally sets up a well-defined multi-resolution analysis framework for the optical flow estimation problem, thus avoiding the common drawbacks of standard multi-resolution schemes. Moreover, wavelet properties enable the design of simple yet efficient high-order regularizers or polynomial approximations associated to a low computational complexity. Accuracy of proposed methods is assessed on challenging sequences of turbulent fluids flows.
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Submitted on : Wednesday, May 9, 2012 - 10:03:26 AM
Last modification on : Wednesday, February 2, 2022 - 3:59:40 PM
Long-term archiving on: : Friday, November 30, 2012 - 11:25:59 AM


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  • HAL Id : hal-00695549, version 1



Pierre Dérian, Patrick Héas, Cédric Herzet, Etienne Mémin. Wavelet-based fluid motion estimation. SSVM 2011 - Third International Conference on Scale Space and Variational Methods in Computer Vision, 2011, Ein-Gedi, Israel. ⟨hal-00695549⟩



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