Snakes: Active contour models, Proceedings of the 1st International Conference on Computer Vision, pp.259-268, 1987. ,
DOI : 10.1007/BF00133570
B-snakes: implementation and application to stereo, Proceedings of Image Understanding Workshop, pp.720-726, 1990. ,
Finite-element methods for active contour models and balloons for 2-D and 3-D images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.11, pp.1131-1147, 1993. ,
DOI : 10.1109/34.244675
Snakes, shapes, and gradient vector flow, IEEE Transactions on Image Processing, vol.7, issue.3, pp.359-369, 1998. ,
A multistage, optimal active contour model, IEEE Transactions on Image Processing, vol.5, issue.11, pp.1586-1591, 1996. ,
DOI : 10.1109/83.541430
B-spline snakes: a flexible tool for parametric contour detection, IEEE Transactions on Image Processing, vol.9, issue.9, pp.1484-1496, 2000. ,
DOI : 10.1109/83.862624
Multi-scale B-spline snakes for general contour detection, Wavelet Applications in Signal and Image Processing VI of Proceedings of SPIE, pp.92-102, 1998. ,
Robust real-time segmentation of images and videos using a smooth-spline snake-based algorithm, IEEE Transactions on Image Processing, vol.14, issue.7, pp.910-924, 2005. ,
DOI : 10.1109/TIP.2005.849307
URL : https://hal.archives-ouvertes.fr/hal-01343201
Smoothing by spline functions, Numerische Mathematik, vol.10, issue.3, pp.177-183, 1967. ,
DOI : 10.1007/BF02162161
B-spline signal processing. I. Theory, IEEE Transactions on Signal Processing, vol.41, issue.2, pp.821-833, 1993. ,
DOI : 10.1109/78.193220
Efficient Energies and Algorithms for Parametric Snakes, IEEE Transactions on Image Processing, vol.13, issue.9, pp.1231-1244, 2004. ,
DOI : 10.1109/TIP.2004.832919
Intelligent interactive image outlining using spline snakes B-spline signal processing?part II. Efficient design and applications, Proceedings of the 28th Asilomar Conference on Signals, Systems and Computers, pp.731-735, 1993. ,
Frequency domain formulation of active parametric deformable models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.12, pp.1568-1578, 2004. ,
DOI : 10.1109/TPAMI.2004.124