M. Kass, A. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988.
DOI : 10.1007/BF00133570

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

F. Dimet and O. Talagrand, Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects, Tellus A, vol.109, issue.2
DOI : 10.1111/j.1600-0870.1986.tb00459.x

T. Mcinerney and D. Terzopoulos, Topologically adaptable snakes, Proceedings of IEEE International Conference on Computer Vision, pp.840-845, 1995.
DOI : 10.1109/ICCV.1995.466850

E. Mémin and P. Pérez, Fluid motion recovery by coupling dense and parametric vector fields, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.620-625, 1999.
DOI : 10.1109/ICCV.1999.791282

R. Snieder and J. Trampert, Inverse Problems in Geophysics, chapter Wavefield inversion, pp.119-190, 2000.

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. Terzopoulos and K. Fleischer, Deformable models. The Visual Computer, pp.306-331, 1988.

A. N. Tikhonov, Regularization of incorrectly posed problems, Soviet Math, vol.4, pp.1624-1627, 1963.

C. Xu and J. L. Prince, Generalized gradient vector flow external forces for active contours, Signal Processing, vol.71, issue.2, pp.131-139, 1998.
DOI : 10.1016/S0165-1684(98)00140-6

C. Xu and J. L. Prince, Snakes, shapes, and gradient vector flow, TIP, vol.7, issue.3, pp.359-369, 1998.