M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, p.html, 2010.
DOI : 10.1007/s11263-009-0275-4

T. J. Leung and J. Malik, Representing and recognizing the visual appearance of materials using three-dimensional textons, International Journal of Computer Vision, vol.43, issue.1, pp.29-44, 2001.
DOI : 10.1023/A:1011126920638

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663

O. G. Cula and K. J. Dana, Compact representation of bidirectional texture functions, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990645

S. C. Zhu, Y. Wu, and D. Mumford, Filters, random-fields and maximum-entropy (FRAME): Towards a unified theory for texture modeling, International Journal of Computer Vision, vol.27, issue.2, pp.107-126, 1998.
DOI : 10.1023/A:1007925832420

T. Ojala, M. Pietikainen, and T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1576

M. Varma and A. Zisserman, Texture classification: are filter banks necessary?, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211534
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.5161

M. Pietikinen, A. Hadid, G. Zhao, and T. Ahonen, Computer Vision Using Local Binary Patterns, 2011.

T. Ahonen, A. Hadid, and M. Pietikainen, Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.12, 2006.
DOI : 10.1109/TPAMI.2006.244

X. Tan and B. Triggs, Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions, pp.1635-1650, 2010.
DOI : 10.1007/978-3-540-75690-3_13
URL : https://hal.archives-ouvertes.fr/inria-00548674

J. Chen, S. Shan, C. He, G. Zhao, M. Pietikainen et al., WLD: A Robust Local Image Descriptor, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1705-1720, 2010.
DOI : 10.1109/TPAMI.2009.155

K. Valkealahti and E. Oja, Reduced multidimensional co-occurrence histograms in texture classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.1, pp.90-94, 1998.
DOI : 10.1109/34.655653

P. Brodatz, Textures: A Photographic Album for Artists and Designers, 1966.

B. Caputo, E. Hayman, and P. Mallikarjuna, Class-specific material categorisation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.54
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.7641

M. J. Lyons, S. Akamatsu, M. Kamachi, and J. Gyoba, Coding facial expressions with Gabor wavelets, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, 1998.
DOI : 10.1109/AFGR.1998.670949
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.7484

G. B. Huang, M. Ramesh, T. Berg, and E. Learned-miller, Labeled faces in the wild: A database for studying face recognition in unconstrained environments, 2007.

L. Liu, P. Fieguth, and G. Kuang, Compressed Sensing for Robust Texture Classification, In: ACCV, vol.24, 2010.
DOI : 10.1007/978-3-540-24673-2_21

S. Lazebnik, C. Schmid, and J. Ponce, A sparse texture representation using local affine regions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1265-1278, 2005.
DOI : 10.1109/TPAMI.2005.151
URL : https://hal.archives-ouvertes.fr/inria-00548530

J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.73-213, 2007.
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574

M. Varma and A. Zisserman, A Statistical Approach to Texture Classification from Single Images, International Journal of Computer Vision, vol.62, issue.1-2, pp.61-81, 2005.
DOI : 10.1007/s11263-005-4635-4

M. Croiser and L. D. Griffin, Using Basic Image Features for Texture Classification, International Journal of Computer Vision, vol.62, issue.1, pp.447-460, 2010.
DOI : 10.1007/s11263-009-0315-0

E. Hayman, B. Caputo, M. Fritz, and J. O. Eklundh, On the Significance of Real-World Conditions for Material Classification, In: ECCV, 2004.
DOI : 10.1007/978-3-540-24673-2_21

Y. Xu, H. Ji, and C. Fermuller, View point invariant texture description using fractal analysis, pp.85-100, 2009.
DOI : 10.1007/s11263-009-0220-6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.367

Y. Xu, X. Yang, H. Ling, and H. Ji, A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540217

T. Jaakkola and D. Haussler, Exploiting generative models in discriminative classifiers, In: NIPS, 1999.

C. M. Bishop, Pattern recognition and machine learning, 2006.

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

X. Feng, M. Pietikinen, and T. Hadid, Facial expression recognition with local binary patterns and linear programming, Pattern Recognition and Image Analysis, vol.15, pp.546-548, 2005.
DOI : 10.1007/11579427_33

C. Shan, S. Gong, and P. W. Mcowan, Facial expression recognition based on Local Binary Patterns: A comprehensive study, Image and Vision Computing, vol.27, issue.6, pp.803-816, 2009.
DOI : 10.1016/j.imavis.2008.08.005
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.2442

A. Vedaldi and A. Zisserman, Efficient additive kernels using explicit feature maps, In: CVPR, 2010.
DOI : 10.1109/cvpr.2010.5539949
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.7024

S. Liao, W. Fan, A. C. Chung, Y. Yeung, and D. , Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.312418
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.2326

L. Wolf, T. Hassner, and Y. Taigman, Similarity Scores Based on Background Samples, In: ACCV, 2009.
DOI : 10.1007/978-3-642-12304-7_9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.9354

E. R. Urbach, J. B. Roerdink, and M. H. Wilkinson, Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.2, pp.272-285, 2007.
DOI : 10.1109/TPAMI.2007.28

R. S. Javier, V. Rodrigo, and C. Mauricio, Recognition of faces in unconstrained environments: a comparative study, EURASIP Journal on Advances in Signal Processing, 2009.

H. J. Seo and P. Milanfar, Face verification using the LARK representation. Information Forensics and Security, IEEE Transactions on, vol.6, pp.1275-1286, 2011.