.. Techniques-de-segmentation, 34 2.2.1 L'approche "Contours, p.35

A. Régions and .. , 37 2.2.2.1 Les méthodes par agrégation, p.38

A. Physiologique and .. , 67 4.1.2 Textures et chevelure, p.70

.. Définition-automatique-des-paramètres, 84 4.3.1 Analyse temps/fréquence d'un signal une dimension, 84 4.3.2 Analyse par filtres, p.89

A. Berman, P. Vlahos, and &. A. Dadourian, Method for removing from an image the background surrounding a selected object, US patent, vol.6135, p.345, 2000.

S. Beucher and &. C. Lantuejoul, Use of watersheds in contour detection. International Workshop on Image Processing : Real-time Edge and Motion Detection/Estimation, 1979.

S. Beucher, The watershed transformation applied to image segmentation, Conf. on Signal and Image Processing in Microscopy and Microanalysis, vol.6, pp.299-314, 1992.

C. Blakemore and &. W. Campbell, On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images, The Journal of Physiology, vol.203, issue.1, pp.237-260, 1969.
DOI : 10.1113/jphysiol.1969.sp008862

&. M. Boykov and . Jolly, Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937505

D. Chai and &. N. Ngan, Locating facial region of a head-and-shoulders color image, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, pp.124-129, 1998.
DOI : 10.1109/AFGR.1998.670936

]. D. Chai and &. N. Ngan, Face segmentation using skin-color map in videophone applications, IEEE transactions on Circuits and Systems for Video Technology, pp.551-564, 1999.
DOI : 10.1109/76.767122

H. Chen and &. S. Zhu, A generative sketch model for human hair analysis and synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.7, pp.1025-1040, 2006.
DOI : 10.1109/TPAMI.2006.131

W. T. Cho, &. H. Freeman, and . Tsao, A reliable skin mole localization scheme, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4409144

B. Chuang, D. H. Curless, &. R. Salesin, and . Szeliski, A Bayesian Approach to Digital Matting, Computer Vision and Pattern Recognition, vol.2, pp.264-271, 2001.

]. J. Coggins, A framework for texture analysis based on spatial filtering, 1983.

D. Comaniciu and &. P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.
DOI : 10.1109/34.1000236

A. P. Dempster, N. M. Laird, and &. B. Rubin, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society, vol.B, issue.39, pp.1-38, 1977.

R. Deriche, Using Canny's criteria to derive a recursively implemented optimal edge detector, International Journal of Computer Vision, vol.1, issue.2, pp.15-20, 1987.
DOI : 10.1007/BF00123164

&. H. Dubois and . Prade, Possibility theory, 1988.
URL : https://hal.archives-ouvertes.fr/hal-01136336

]. D. Dubois and &. H. Prade, Putting rough sets and fuzzy sets together. In R Slowinski , editeur, Intelligent Decision Support-Handbook of Applications and Advances of the Rough Set Theory, Kluwer Academic, pp.203-232, 1992.

B. Durette and &. J. Hérault, Traitement visuels biomimétiques pour la suppléance perceptive. Rapport technique, Gipsa-lab, 2005.

A. Elgammal, C. Muang, and &. D. Hu, Skin Detection, a Short Tutorial, Encyclopedia of Biometrics, 2009.

C. Germain, J. P. Da-costa, O. Lavialle, and &. P. Baylou, Multiscale estimation of vector field anisotropy application to texture characterization, Signal Processing, vol.83, issue.7, pp.1487-1503, 2003.
DOI : 10.1016/S0165-1684(03)00064-1

URL : https://hal.archives-ouvertes.fr/hal-00160721

N. Guyader, A. Chauvin, C. Massot, J. Héraul, and &. C. Marendaz, A biological model of low-level vision suitable for image analysis and cognitive visual perception, European Conference on Visual Perception, 2006.

D. L. Hall and &. J. Llinas, Handbook of multisensor data fusion. Numeéro 1, 2001.

R. M. Haralick, Statistical and structural approaches to texture, Proceedings of the IEEE, pp.786-804, 1979.
DOI : 10.1109/PROC.1979.11328

]. L. Harvey-90, &. V. Harvey, and . Doan, Visual masking at different polar angles in the two-dimensional Fourier plane, Journal of the Optical Society of America A, vol.7, issue.1, pp.116-127, 1990.
DOI : 10.1364/JOSAA.7.000116

M. Harville, H. Baker, N. Bhatti, and &. S. Susstrunk, Consistent image-based measurement and classification of skin color, IEEE International Conference on Image Processing 2005, pp.11-14, 2005.
DOI : 10.1109/ICIP.2005.1530070

T. Horprasert, D. Harwood, and &. S. Davis, A statistical approach for real-time robust background subtraction and shadow detection, pp.1-19, 1999.

J. Hérault, De la rétine biologique aux circuits neuromorphiques, Hermès, editeur, Les Systèmes de Vision, 2001.

]. R. Hsu, M. Abdel-mottaleb, and &. A. Jain, Face detection in color images, IEEE Trans. on PAMI, vol.24, issue.5, pp.696-706, 2002.

D. H. Hubel and &. T. , Receptive fields, binocular interaction and functional architecture in the cat's visual cortex, The Journal of Physiology, vol.160, issue.1, pp.106-154, 1962.
DOI : 10.1113/jphysiol.1962.sp006837

]. I. Jarudi and &. P. Sinha, Relative Contributions of Internal and External Features to Face Recognition. Rapport technique, Defense Technical Information Center OAI-PMH Repository, 2007.

J. Michael, &. J. Jones, and . Rehg, Statistical Color Models with Application to Skin Detection, International Journal of Computer Vision, pp.274-280, 1999.

M. J. Jones and &. J. Rehg, Statistical color models with application to skin detection, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.81-96, 2004.
DOI : 10.1109/CVPR.1999.786951

B. Julesz and &. J. Bergen, Textons, the fundamental elements in preattentive vision and perception of textures, Readings in computer vision : issues, problems, principles, and paradigms, pp.243-256, 1987.

. T. Kajiya-89-]-j, &. T. Kajiya, and . Kay, Rendering fur with three dimensional textures, ACM SIGGRAPH Computer Graphics, vol.23, issue.3, pp.271-280, 1989.
DOI : 10.1145/74334.74361

P. Kakumanu, S. Makrogiannis, and &. N. Bourbakis, A survey of skin-color modeling and detection methods, Pattern Recognition, vol.40, issue.3, pp.1106-1122, 2006.
DOI : 10.1016/j.patcog.2006.06.010

]. M. Kampmann-97b, &. J. Kampmann, and . Ostermann, Automatic adaptation of a face model in a layered coder with an object-based analysis-synthesis layer and a knowledgebased layer, Signal Processing : Image Communication, pp.201-220, 1997.

J. Kovac, P. Peer, and &. F. Solina, Human Skin Colour Clustering for Face Detection Markov random field models for hair and face segmentation, International Conference on Computer, pp.1-8, 2003.

A. Levin, D. Lischinski, and &. Y. Weiss, Colorization using optimization, ACM Transactions on Graphics, vol.23, issue.3, pp.689-694, 2004.
DOI : 10.1145/1015706.1015780

A. Levin, D. Lischinski, and &. Y. Weiss, A Closed Form Solution to, Natural Image Matting. CVPR, vol.1, pp.61-68, 2006.

A. Levin, D. Lischinski, and &. Y. Weiss, A Closed-Form Solution to Natural Image Matting, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.2, pp.228-242, 2008.
DOI : 10.1109/TPAMI.2007.1177

R. Lienhart, L. Liang, and &. E. Kuranov, A detector tree of boosted classifiers for real-time object detection and tracking, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), pp.277-280, 2003.
DOI : 10.1109/ICME.2003.1221607

P. Longère and &. A. Tremeau, Color Appearance : Effects of Texture and Relief, Electronic Imaging, pp.89-97, 1998.

S. Mallat, Une exploration des signaux en ondelettes, Ecole Polytechnique, 2001.

B. Mandelbrot, Les objets fractals : forme, hasard et dimension. Flammarion, 1975.

S. R. Marschner, H. W. Jensen, M. Cammarano, S. Worley, and &. P. Hanrahan, Light scattering from human hair fibers, ACM Transactions on Graphics, vol.22, issue.3, pp.780-791, 2003.
DOI : 10.1145/882262.882345

]. J. Mcneil, L. Cipolotti, and &. E. Warrington, The accessibility of proper names, Neuropsychologia, vol.32, issue.2, pp.193-208, 1994.
DOI : 10.1016/0028-3932(94)90005-1

D. Mercier, B. Quost, and &. T. Denoeux, Refined modeling of sensor reliability in the belief function framework using contextual discounting, Information Fusion, vol.9, issue.2, pp.246-258, 2008.
DOI : 10.1016/j.inffus.2006.08.001

F. Michelet, J. P. Da-costa, P. Baylou, and &. C. Germain, Local Orientation Estimation in Corrupted Images, IWICPAS, pp.349-358, 2006.
DOI : 10.1007/11821045_37

URL : https://hal.archives-ouvertes.fr/hal-00166472

F. Michelet, J. P. Da-costa, O. Lavialle, Y. Berthoumieu, P. Baylou et al., Estimating local multiple orientations, Signal Processing, vol.87, issue.7, pp.1655-1669, 2007.
DOI : 10.1016/j.sigpro.2007.01.017

URL : https://hal.archives-ouvertes.fr/hal-00166478

M. A. Ruzon and &. C. Tomasi, Alpha estimation in natural images, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.1018-1025, 2000.
DOI : 10.1109/CVPR.2000.855793

G. Shafer, A mathematical theory of evidence, 1976.

K. I. Shin, &. V. Chang, and . Tsap, Does Colorspace Transformation Make Any Difference on Skin Detection ? Applications of Computer Vision, p.275, 2002.

]. P. Sinha-96, &. T. Sinha, and . Poggio, I think I know that face..., Nature, vol.384, issue.6608, p.404, 1996.
DOI : 10.1038/384404a0

P. Smets and &. R. Kennes, The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-234, 1994.
DOI : 10.1016/0004-3702(94)90026-4

URL : https://hal.archives-ouvertes.fr/hal-01185821

K. Sobottka and &. I. Pitas, Face localization and facial feature extraction based on shape and color information, Proceedings of 3rd IEEE International Conference on Image Processing, pp.483-486, 1996.
DOI : 10.1109/ICIP.1996.560536

S. Stillitanno, J. Sun, Y. Li, S. B. Kang, and &. Y. Shum, Segmentation et suivi des contours externe et interne des lèvres pour des applications de maquillage virtuel et de labiophonie Master's thesis, Institut National Polytechnique de Grenoble -INPG Flash matting, Flash Cut : Foreground Extraction with Flash and No-flash Image Pairs. CVPR, pp.772-778, 2006.

]. L. Torres, A. Albiol, and &. E. Delp, An unsupervised color image segmentation algorithm for face detection applications, International Conference on Image Processing, pp.681-684, 2001.

A. Trémeau and &. N. Borel, A region growing and merging algorithm to color segmentation, Pattern Recognition, vol.30, issue.7, pp.1191-1203, 1997.
DOI : 10.1016/S0031-3203(96)00147-1

A. Trémeau and &. P. Colantoni, Color data visualization for color imaging, pp.1068-1077, 2003.

M. Tuceryan and &. A. Jain, The handbook of pattern recognition and computer vision, pp.207-248, 1998.

]. Valois, The orientation and direction selectivity of cells in macaque visual cortex, Vision Research, vol.22, issue.5, pp.531-544, 1982.
DOI : 10.1016/0042-6989(82)90112-2

L. Vincent and &. P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, pp.583-598, 1991.
DOI : 10.1109/34.87344

P. Viola and &. M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990517

&. M. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.

D. Wang, S. G. Shan, W. Zeng, H. M. Zhang, and &. L. Chen, A novel two-tier Bayesian based method for hair segmentation, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.2401-2404, 2009.
DOI : 10.1109/ICIP.2009.5414215

&. L. Davis, Detection and Analysis of Hair, IEEE Trans. Pattern Anal. Mach. Intell, vol.28, issue.7, pp.1164-1169, 2006.

R. R. Yager, On the dempster-shafer framework and new combination rules, Information Sciences, vol.41, issue.2, pp.93-137, 1987.
DOI : 10.1016/0020-0255(87)90007-7

&. N. Yang and . Ahuja, <title>Gaussian mixture model for human skin color and its applications in image and video databases</title>, Storage and Retrieval for Image and Video Databases VII, pp.458-466, 1999.
DOI : 10.1117/12.333865

J. S. Yedidi, W. T. Freeman, and &. Y. Weiss, Understanding belief propagation and its generalizations, Exploring artificial intelligence in the new millennium, pp.239-269, 2003.

L. A. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

J. Zhang, P. Regtien, and &. M. Korsten, Monitoring of a dry sliding wear using fractal analysis, Metrology and Measurement Systems, vol.12, issue.2, pp.111-118, 2005.

H. Zhang, &. M. Gunes, and . Piccardi, An accurate algorithm for head detection based on XYZ and HSV hair and skin color models, 2008 15th IEEE International Conference on Image Processing, pp.1644-1647, 2008.
DOI : 10.1109/ICIP.2008.4712087

H. Zhang, &. M. Gunes, and . Piccardi, Head detection for video surveillance based on categorical hair and skin colour models, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.1137-1140, 2009.
DOI : 10.1109/ICIP.2009.5413535