Derian11b

P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelet-based fluid motion estimation. In Scale Space Methods and Variational Methods (SSVM) in Computer Vision, Israel, June 2011.

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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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Cédric Herzet
Etienne Mémin

BibTex Reference

@InProceedings{Derian11b,
   Author = {Dérian, P. and Héas, P. and Herzet, C. and Mémin, E.},
   Title = {Wavelet-based fluid motion estimation},
   BookTitle = {Scale Space Methods and Variational Methods (SSVM) in Computer Vision},
   Address = {Israel},
   Month = {June},
   Year = {2011}
}

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