P. Jansen, W. Van-der-mark, W. Van-den-heuvel, and F. Groen, Colour based off-road environment and terrain type classification, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005., pp.216-221, 2005.
DOI : 10.1109/ITSC.2005.1520023

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.712-741, 1984.

C. Rother, V. Kolmogorov, and A. Blake, "GrabCut", ACM Transactions on Graphics, vol.23, issue.3, pp.309-314, 2004.
DOI : 10.1145/1015706.1015720

J. Lafferty, A. Mccallum, and F. Pereira, Conditional random fields: probabilistic models for segmenting and labeling sequence data, Proceedings of the International Conference on Machine Learning, pp.282-289, 2001.

X. He, R. Zemel, and M. Carreira-perpiñán, Multiscale conditional random fields for image labelling, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.695-702, 2004.

S. Kumar and M. Hebert, A hierarchical field framework for unified context-based classification, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1284-1291, 2005.
DOI : 10.1109/ICCV.2005.9

J. Shotton, J. Winn, C. Rother, and A. Criminisi, TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation, Proceedings of the European Conference on Computer Vision, pp.1-15, 2006.
DOI : 10.1007/11744023_1

A. Quattoni, M. Collins, and T. Darrell, Conditional random fields for object recognition, Advances in Neural Information Processing Systems, pp.1097-1104, 2005.

P. Carbonetto, G. Dorkó, C. Schmid, H. Kück, and N. De-freitas, A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues, Toward Category- Level Object Recognition, pp.277-300, 2006.
DOI : 10.1007/11957959_15
URL : https://hal.archives-ouvertes.fr/inria-00548613

J. Verbeek and B. Triggs, Region Classification with Markov Field Aspect Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383098
URL : https://hal.archives-ouvertes.fr/inria-00321129

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

J. Van-de-weijer and C. Schmid, Coloring Local Feature Extraction, Proceedings of the European Conference on Computer Vision, pp.334-348, 2006.
DOI : 10.1002/col.10049
URL : https://hal.archives-ouvertes.fr/inria-00548576

J. Yedidia, W. Freeman, and Y. Weiss, Understanding belief propagation and its generalizations, 2001.

F. Schroff, A. Criminisi, and A. Zisserman, Single-Histogram Class Models for Image Segmentation, Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, 2006.
DOI : 10.1007/11949619_8