Derian13a

P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelets and Optical Flow Motion Estimation. Numerical Mathematics: Theory, Methods and Applications, 6(1):116-137, January 2013.

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Abstract

This article describes the implementation of a simple wavelet-based optical-flow motion estimator dedicated to continuous motions such as fluid flows. The wavelet representation of the unknown velocity field is considered. This scale-space representation, associated to a simple gradient-based optimization algorithm, sets up a well-defined multiresolution framework for the optical flow estimation. Moreover, a very simple closure mechanism, approaching locally the solution by high-order polynomials, is provided by truncating the wavelet basis at fine scales. Accuracy and efficiency of the proposed method is evaluated on image sequences of turbulent fluid flows.

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Cédric Herzet
Etienne Mémin

BibTex Reference

@article{Derian13a,
   Author = {Dérian, P. and Héas, P. and Herzet, C. and Mémin, E.},
   Title = {Wavelets and Optical Flow Motion Estimation},
   Journal = {Numerical Mathematics: Theory, Methods and Applications},
   Volume = {6},
   Number = {1},
   Pages = {116--137},
   Month = {January},
   Year = {2013}
}

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