C. Liu, L. Sharan, E. H. Adelson, and R. Rosenholtz, Exploring features in a Bayesian framework for material recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.239-246, 2010.
DOI : 10.1109/CVPR.2010.5540207

P. Hiremath and J. Pujari, Content Based Image Retrieval Using Color, Texture and Shape Features, 15th International Conference on Advanced Computing and Communications (ADCOM 2007), pp.0-780, 2007.
DOI : 10.1109/ADCOM.2007.21

R. De-luis-garcía, C. F. Westin, and C. Alberola-lópez, Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging, Computerized Medical Imaging and Graphics, vol.35, issue.1, pp.16-30, 2011.
DOI : 10.1016/j.compmedimag.2010.09.001

P. Cirujeda, Y. D. Cid, H. Müller, D. L. Rubin, T. A. Aguilera et al., A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT, IEEE Transactions on Medical Imaging, vol.35, issue.12, pp.2620-2630, 2016.
DOI : 10.1109/TMI.2016.2591921

C. Zhu and X. Yang, Study of remote sensing image texture analysis and classification using wavelet, International Journal of Remote Sensing, vol.19, issue.16, pp.3197-3203, 1998.
DOI : 10.1080/014311698214262

O. Regniers, L. Bombrun, V. Lafon, and C. Germain, Supervised Classification of Very High Resolution Optical Images Using Wavelet-Based Textural Features, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.6, pp.3722-3735, 2016.
DOI : 10.1109/TGRS.2016.2526078
URL : https://hal.archives-ouvertes.fr/hal-01316398

X. Tan and B. Triggs, Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions, 2007.
DOI : 10.1007/978-3-540-75690-3_13
URL : https://hal.archives-ouvertes.fr/inria-00548674

N. S. Vu, H. M. Dee, and A. Caplier, Face recognition using the POEM descriptor, Pattern Recognition, vol.45, issue.7, pp.2478-2488, 2012.
DOI : 10.1016/j.patcog.2011.12.021
URL : https://hal.archives-ouvertes.fr/hal-00741455

T. P. Nguyen, N. Vu, and A. Manzanera, Statistical binary patterns for rotational invariant texture classification, Neurocomputing, vol.173, pp.1565-1577, 2016.
DOI : 10.1016/j.neucom.2015.09.029
URL : https://hal.archives-ouvertes.fr/hal-01245103

O. Tuzel, F. Porikli, and P. Meer, Region Covariance: A Fast Descriptor for Detection and Classification, Lecture Notes in Computer Science, vol.60, pp.589-600, 2006.
DOI : 10.1109/ICCV.2003.1238382
URL : http://www.merl.com/reports/docs/TR2005-111.pdf

S. Jayasumana, R. I. Hartley, M. Salzmann, H. Li, and M. T. Harandi, Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.73-80, 2013.
DOI : 10.1109/CVPR.2013.17

M. Faraki, M. T. Harandi, A. Wiliem, and B. C. Lovell, Fisher tensors for classifying human epithelial cells, Pattern Recognition, vol.47, issue.7, pp.2348-2359, 2014.
DOI : 10.1016/j.patcog.2013.10.011

M. Faraki, M. T. Harandi, and F. Porikli, More about VLAD: A leap from Euclidean to Riemannian manifolds, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4951-4960, 2015.
DOI : 10.1109/CVPR.2015.7299129

I. Ilea, L. Bombrun, C. Germain, R. Terebes, M. Borda et al., Texture image classification with Riemannian fisher vectors, 2016 IEEE International Conference on Image Processing (ICIP), pp.3543-3547, 2016.
DOI : 10.1109/ICIP.2016.7533019
URL : https://hal.archives-ouvertes.fr/hal-01379593

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, Lecture Notes in Computer Science, vol.6314, pp.143-156, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

F. Perronnin, Y. Liu, J. Sánchez, and H. Poirier, Large-scale image retrieval with compressed Fisher vectors, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2010-3384, 2010.
DOI : 10.1109/CVPR.2010.5540009

S. Said, L. Bombrun, Y. Berthoumieu, and J. H. Manton, Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices, IEEE Transactions on Information Theory, vol.63, issue.4, pp.2153-2170, 2017.
DOI : 10.1109/TIT.2017.2653803

S. Said, L. Bombrun, and Y. Berthoumieu, Texture Classification Using Rao???s Distance on the Space of Covariance Matrices, In: Geometric Science of Information, 2015.
DOI : 10.1007/978-3-319-25040-3_40
URL : https://hal.archives-ouvertes.fr/hal-01228766

M. Faraki, M. Palhang, and C. Sanderson, Log-Euclidean bag of words for human action recognition, IET Computer Vision, vol.9, issue.3, pp.331-339, 2015.
DOI : 10.1049/iet-cvi.2014.0018

N. J. Higham, Functions of matrices: theory and computation, Society for Industrial and Applied Mathematics, 2008.
DOI : 10.1137/1.9780898717778

A. Ledoux, O. Losson, and L. Macaire, Texture classification with fuzzy color cooccurrence matrices, IEEE ICIP, pp.1429-1433, 2015.
DOI : 10.1109/icip.2015.7351036
URL : https://hal.archives-ouvertes.fr/hal-01243254