A. Wedel, D. Cremers, T. Pock, and H. Bischof, Structure-and motionadaptive regularization for high accuracy optic flow, Proc. Int. Conf

M. Werlberger, T. Pock, and H. Bischof, Motion estimation with nonlocal total variation regularization, IEEE Proc. of Comp, pp.2464-2471, 2010.
DOI : 10.1109/cvpr.2010.5539945
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.171.388

T. Brox, A. Bruhn, N. Papenberg, and J. Weickert, High Accuracy Optical Flow Estimation Based on a Theory for Warping, Eur. Conf. Comp. Vis, pp.25-36, 2004.
DOI : 10.1007/978-3-540-24673-2_3

D. Sun, E. B. Sudderth, and M. J. Black, Layered image motion with explicit occlusions, temporal consistency, and depth ordering, Adv. Neur. Inf. Proc. Sys., Canada, pp.2226-2234, 2010.

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/34.969114

S. Baker, D. Scharstein, S. Lewis, M. J. Roth, R. Black et al., 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

C. Louchet and L. Moisan, Total Variation as a Local Filter, SIAM Journal on Imaging Sciences, vol.4, issue.2, pp.651-694, 2011.
DOI : 10.1137/100785855
URL : https://hal.archives-ouvertes.fr/hal-00457763

C. Zitnick, N. Jojic, and S. B. Kang, Consistent segmentation for optical flow estimation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1308-1315, 2005.
DOI : 10.1109/ICCV.2005.61

V. Lempitsky, C. Rother, S. Roth, and A. Blake, Fusion Moves for Markov Random Field Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.8, pp.1392-1405, 2010.
DOI : 10.1109/TPAMI.2009.143