E. Arnaud, E. Mémin, and B. Cernuschi-frías, Conditional filters for image sequence-based tracking - application to point tracking, IEEE Transactions on Image Processing, vol.14, issue.1, 2005.
DOI : 10.1109/TIP.2004.838707

URL : https://hal.archives-ouvertes.fr/inria-00306720

H. H. Bulthoff, S. Y. Edelman, and M. J. Tarr, How Are Three-Dimensional Objects Represented in the Brain?, Cerebral Cortex, vol.5, issue.3, 1995.
DOI : 10.1093/cercor/5.3.247

G. Csurka, C. Dance, L. Fan, J. Willamowsky, and C. Bray, Visual categorization with bags of keypoints, Int. Work. on Statistical Learning in Comp. Vis., ECCV, 2004.

A. Doucet, S. Godsill, and C. Andrieu, On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000.
DOI : 10.1023/A:1008935410038

M. Grabner and H. Bischof, Object recognition based on local feature trajectories. In I cognitive vision works, 2005.

T. Joachims, Text categorization with Support Vector Machines: Learning with many relevant features, Proc. of ECML, pp.137-147, 1998.
DOI : 10.1007/BFb0026683

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.6124

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

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561

URL : https://hal.archives-ouvertes.fr/inria-00548276

H. Murase and S. K. Nayar, Visual learning and recognition of 3-d objects from appearance, International Journal of Computer Vision, vol.37, issue.10, pp.5-24, 1995.
DOI : 10.1007/BF01421486

F. Odone, A. Barla, and A. Verri, Building kernels from binary strings for image matching, IEEE Transactions on Image Processing, vol.14, issue.2, pp.169-180, 2005.
DOI : 10.1109/TIP.2004.840701

M. Pontil and A. Verri, Support vector machines for 3D object recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.6, pp.637-646, 1998.
DOI : 10.1109/34.683777

P. Sinha and T. Poggio, The role of learning in threedimensional form perception, Nature, vol.384, 1996.

M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, vol.10, issue.9, pp.71-86, 1991.
DOI : 10.1007/BF00239352

E. Wan and R. Van-der-merwe, The unscented Kalman filter for nonlinear estimation, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373), 2000.
DOI : 10.1109/ASSPCC.2000.882463