Wavelet-based fluid motion estimation

Pierre Dérian 1, * Patrick Héas 1 Cédric Herzet 1 Étienne Mémin 1
* Auteur correspondant
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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Communication dans un congrès
SSVM 2011 - Third International Conference on Scale Space and Variational Methods in Computer Vision, 2011, Ein-Gedi, Israel. Springer, 2011, Scale Space and Variational Methods in Computer Vision
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Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin. Wavelet-based fluid motion estimation. SSVM 2011 - Third International Conference on Scale Space and Variational Methods in Computer Vision, 2011, Ein-Gedi, Israel. Springer, 2011, Scale Space and Variational Methods in Computer Vision. 〈hal-00695549〉

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