A Database and Evaluation Methodology for Optical Flow, International Journal of Computer Vision, vol.27, issue.3, pp.1-31, 2011. ,
DOI : 10.1007/s11263-010-0390-2
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
Optical flow modeling and computation: A survey, Computer Vision and Image Understanding, vol.134, pp.1-21, 2015. ,
DOI : 10.1016/j.cviu.2015.02.008
URL : https://hal.archives-ouvertes.fr/hal-01104081
Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981. ,
DOI : 10.1016/0004-3702(81)90024-2
Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects. Tellus Series A : Dynamic meteorology and oceanography, pp.97-110, 1986. ,
An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences. Pattern Analysis and Machine Intelligence, pp.8565-593, 1986. ,
Regularisation and scale space, 1994. ,
Calculation of the inverse of the covariance, Mathematical Geology, vol.30, issue.7, pp.911-933, 1998. ,
DOI : 10.1023/A:1021734811230
Data assimilation with the weighted ensemble Kalman filter. Tellus Series A : Dynamic meteorology and oceanography, pp.673-697, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00490840
Optimized advection of radar reflectivities, Atmospheric Research, vol.100, issue.2-3, pp.2-3213, 2011. ,
DOI : 10.1016/j.atmosres.2010.12.016
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
Regularization of incorrectly posed problems, Soviet Mathematics -Doklady, vol.4, pp.1624-1627, 1963. ,
Motion estimation with non-local total variation regularization, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539945