B. K. Horn and B. G. Schunk, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

I. Cohen and I. Herlin, Optical flow and phase portrait methods for environmental satellite image sequences, Proceedings of European Conference on Computer Vision, pp.141-150, 1996.
DOI : 10.1007/3-540-61123-1_134

URL : https://hal.archives-ouvertes.fr/inria-00626437

N. Papadakis and . Mémin, Variational optimal control technique for the tracking of deformable objects, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408944

URL : https://hal.archives-ouvertes.fr/hal-00596203

O. Titaud, A. Vidard, I. Souopgui, and F. Dimet, Assimilation of image sequences in numerical models, Tellus A: Dynamic Meteorology and Oceanography, vol.105, issue.8, pp.30-47, 2010.
DOI : 10.1111/j.1600-0870.2009.00416.x

URL : https://hal.archives-ouvertes.fr/inria-00332815

D. Béréziat and I. Herlin, Solving ill-posed Image Processing problems using Data Assimilation, Numerical Algorithms, vol.14, issue.7, pp.219-252, 2011.
DOI : 10.1007/s11075-010-9383-z

K. Drifi and I. Herlin, Assimilation d'images dans un modèle réduit pour l'estimation du mouvement, 2011.

P. Holmes, J. L. Lumley, and G. Berkooz, Turbulence, Coherent Structures, Symmetry and Dynamical Systems , Cambridge Monographs on Mechanics and Applied Mathematics, 1996.

J. L. Lumley, The structure of inhomogeneous turbulence Atmospheric Turbulence and Radio Wave Propagation, pp.166-178, 1967.

C. Zhu, R. H. Byrd, P. Lu, and J. Nocedal, Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization, ACM Transactions on Mathematical Software, vol.23, issue.4, pp.550-560, 1997.
DOI : 10.1145/279232.279236

T. Isambert, I. Herlin, and J. Berroir, Fast and stable vector spline method for fluid flow estimation, Proceedings of International Conference on Image Processing, pp.505-508, 2007.

D. Suter, Motion estimation and vector splines, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, pp.939-942, 1994.
DOI : 10.1109/CVPR.1994.323929

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

D. Sun, S. Roth, and M. Black, Secrets of optical flow estimation and their principles, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2432-2439, 2010.
DOI : 10.1109/CVPR.2010.5539939