]. F. Alter-2006, Y. Alter, X. Matsushita, and . Tang, An Intensity Similarity Measure in Low-Light Conditions, European Conference on Computer Vision, pp.267-280, 2006.
DOI : 10.1007/11744085_21

]. B. Amberg, A. Blake, and T. Vetter, On compositional Image Alignment, with an application to Active Appearance Models, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1714-1721, 2009.
DOI : 10.1109/CVPR.2009.5206788

]. A. Averbuch and Y. Keller, Fast Gradient Methods Based Global Motion Estimation for Video Compression, IEEE Trans. on Circ. and Sys. for Vid. Tech, vol.13, pp.300-309, 2003.

]. S. Baker and I. Matthews, Equivalence and efficiency of image alignment algorithms, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.1090-1097, 2001.
DOI : 10.1109/CVPR.2001.990652

]. S. Baker, R. Gross, I. Matthews, and T. Ishikawa, Lucas-Kanade 20 Years On : A Unifying Framework : Part 2. Rapport technique CMU-RI-TR-03-01, 2003.

R. Simon-baker, I. Gross, T. Matthews, and . Ishikawa, Lucas-Kanade 20 Years On : A Unifying Framework : Part 2. Rapport technique CMU-RI-TR-03-01, 2003.

]. S. Baker and I. Matthews, Lucas-Kanade 20 Years On: A Unifying Framework, International Journal of Computer Vision, vol.56, issue.3, pp.221-255, 2004.
DOI : 10.1023/B:VISI.0000011205.11775.fd

]. A. Bartoli, Groupwise Geometric and Photometric Direct Image Registration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.12, pp.2098-2108, 2008.
DOI : 10.1109/TPAMI.2008.22
URL : https://hal.archives-ouvertes.fr/hal-00094752

]. E. Bayro-corrochano and J. Ortegón-aguilar, Lie algebra approach for tracking and 3D motion estimation using monocular vision, Image and Vision Computing, vol.25, issue.6, pp.907-921, 2007.
DOI : 10.1016/j.imavis.2006.07.005

]. S. Benhimane and E. Malis, Real-time image-based tracking of planes using efficient second-order minimization, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), pp.943-948, 2004.
DOI : 10.1109/IROS.2004.1389474

]. M. Benhimane, Vers une approche unifiée pour le suivi temps-réel et l'asservissement visuel, 2006.

]. S. Benhimane, A. Ladikos, V. Lepetit, and N. Navab, Linear and Quadratic Subsets for Template-Based Tracking, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-6, 2007.
DOI : 10.1109/CVPR.2007.383179
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.6480

]. S. Benhimane and E. Malis, Homography-based 2D Visual Tracking and Servoing, The International Journal of Robotics Research, vol.26, issue.7, pp.661-676, 2007.
DOI : 10.1177/0278364907080252

. Bibliographie, J. Michael, P. Black, and . Anandan, A framework for the robust estimation of optical flow, International Conference on Computer Vision, pp.231-236, 1993.

]. M. Black and A. Rangarajan, On the unification of line processes, outlier rejection, and robust statistics with applications in early vision, International Journal of Computer Vision, vol.8, issue.4, pp.57-91, 1996.
DOI : 10.1007/BF00131148

]. R. Brooks, T. Arbel, and D. Precup, Fast image alignment using anytime algorithms, International joint conference on Artifical intelligence, pp.2078-2083, 2007.

]. R. Brooks and T. Arbel, Generalizing Inverse Compositional and ESM Image Alignment, International Journal of Computer Vision, vol.21, issue.11, 2009.
DOI : 10.1007/s11263-009-0263-8

]. L. Brown, A survey of image registration techniques, ACM Computing Surveys, vol.24, issue.4, pp.325-376, 1992.
DOI : 10.1145/146370.146374

]. J. Buenaposada and L. Baumela, Real-time tracking and estimation of plane pose, Object recognition supported by user interaction for service robots, pp.697-700, 2002.
DOI : 10.1109/ICPR.2002.1048397

]. P. Cachier and D. Rey, Symmetrization of the Non-rigid Registration Problem Using Inversion-Invariant Energies: Application to Multiple Sclerosis, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.472-481, 2000.
DOI : 10.1007/978-3-540-40899-4_48

]. P. Cachier, E. Bardinet, D. Dormont, X. Pennec, and N. Ayache, Iconic feature based nonrigid registration: the PASHA algorithm, Computer Vision and Image Understanding, vol.89, issue.2-3, pp.272-298, 2003.
DOI : 10.1016/S1077-3142(03)00002-X
URL : https://hal.archives-ouvertes.fr/inria-00615633

W. Chen, L. Jin, F. Zhao, and . Li, A subpixel motion estimation algorithm based on digital correlation for illumination variant and noise image sequences, Optik - International Journal for Light and Electron Optics, vol.120, issue.16, pp.835-844, 2009.
DOI : 10.1016/j.ijleo.2008.03.018

]. G. Christensen, Consistent Linear-Elastic Transformations for Image Matching, Information Processing in Medical Imaging, pp.224-237, 1999.
DOI : 10.1007/3-540-48714-X_17
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.3869

]. G. Christensen and H. J. Johnson, Consistent image registration, IEEE Transactions on Medical Imaging, vol.20, issue.7, pp.568-582, 2001.
DOI : 10.1109/42.932742

]. D. Comaniciu, V. Ramesh, and P. Meer, Kernel-based object tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.564-575, 2003.
DOI : 10.1109/TPAMI.2003.1195991

]. S. Dai, M. Yang, Y. Wu, and A. K. Katsaggelos, Tracking Motion-Blurred Targets in Video, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.312943

]. A. Dame and E. Marchand, Entropy-based visual servoing, 2009 IEEE International Conference on Robotics and Automation, pp.1970-1976, 2009.
DOI : 10.1109/ROBOT.2009.5152492
URL : https://hal.archives-ouvertes.fr/inria-00436926

]. G. Dedeoglu, T. Kanade, and S. Baker, The Asymmetry of Image Registration and Its Application to Face Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.5, pp.607-623, 2007.
DOI : 10.1109/TPAMI.2007.1054

]. N. Dowson and R. Bowden, Mutual Information for Lucas-Kanade Tracking (MILK): An Inverse Compositional Formulation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.1, pp.180-185, 2008.
DOI : 10.1109/TPAMI.2007.70757
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.7507

]. T. Drummond and R. Cipolla, Application of Lie Algebras to Visual Servoing, International Journal of Computer Vision, vol.37, issue.1, pp.21-41, 1999.
DOI : 10.1023/A:1008125412549

]. T. Drummond and R. Cipolla, Visual tracking and control using Lie algebras, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.652-657, 1999.
DOI : 10.1109/CVPR.1999.784996
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.502

]. F. Dufaux and J. Konrad, Efficient, robust, and fast global motion estimation for video coding, IEEE Transactions on Image Processing, vol.9, issue.3, pp.497-501, 2000.
DOI : 10.1109/83.826785

]. G. Evangelidis and E. Z. Psarakis, Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, pp.1858-1865, 2008.
DOI : 10.1109/TPAMI.2008.113
URL : https://hal.archives-ouvertes.fr/hal-00864385

]. S. Farsiu, A Fast and Robust Framework for Image Fusion and Enhancement, 2005.

]. S. Farsiu, M. Elad, and P. Milanfar, Constrained, globally optimal, multi-frame motion estimation, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, pp.1396-1401, 2005.
DOI : 10.1109/SSP.2005.1628814
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.2674

]. O. Faugeras, Q. Luong, and T. Papadopoulou, The geometry of multiple images : The laws that govern the formation of images of a scene and some of their applications, 2001.

A. Martin, R. C. Fischler, and . Bolles, Random Sample Consensus : A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981.

A. Gay-bellile, P. Bartoli, and . Sayd, Feature-driven direct non-rigid image registration, British Machine Vision Conference, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00344681

]. M. Gleicher, Projective registration with difference decomposition, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.331, 1997.
DOI : 10.1109/CVPR.1997.609345
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.6144

]. L. Guangwei, L. Yunpeng, Y. Jian, and S. Zelin, Optimization on Lie Manifolds and Projective Tracking, 2008 International Conference on Computer Science and Software Engineering, pp.768-771, 2008.
DOI : 10.1109/CSSE.2008.1241

]. I. Guskov, Kernel-based Template Alignment, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.610-617, 2006.
DOI : 10.1109/CVPR.2006.162

]. G. Hager and P. N. Belhumeur, Efficient region tracking with parametric models of geometry and illumination, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.10, pp.1025-1039, 1998.
DOI : 10.1109/34.722606

D. Gregory, M. Hager, C. V. Dewan, and . Stewart, Multiple Kernel Tracking with SSD, IEEE Conference on Computer Vision and Pattern Recognition, pp.790-797, 2004.

]. M. Harker and P. L. O?eary, Computation of Homographies, Procedings of the British Machine Vision Conference 2005, 2005.
DOI : 10.5244/C.19.30

]. C. Harris and M. Stephens, A Combined Corner and Edge Detection, Proceedings of The Fourth Alvey Vision Conference, pp.147-151, 1988.

]. R. Hartley, In defense of the eight-point algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.6, pp.580-593, 1997.
DOI : 10.1109/34.601246

]. R. Hartley and A. Zisserman, Multiple view geometry in computer vision, 2004.
DOI : 10.1017/CBO9780511811685

]. H. Jin, P. Favaro, and R. Cipolla, Visual Tracking in the Presence of Motion Blur, IEEE Conference on Computer Vision and Pattern Recognition, pp.18-25, 2005.

]. S. Joshi, B. Davis, M. Jomier, and G. Gerig, Unbiased diffeomorphic atlas construction for computational anatomy, NeuroImage, vol.23, pp.151-160, 2004.
DOI : 10.1016/j.neuroimage.2004.07.068

]. F. Jurie and M. Dhome, Hyperplane approximation for template matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.996-1000, 2002.
DOI : 10.1109/TPAMI.2002.1017625
URL : https://hal.archives-ouvertes.fr/inria-00548267

F. Jurie and M. Dhome, Real Time Robust Template Matching, Procedings of the British Machine Vision Conference 2002, pp.123-131, 2002.
DOI : 10.5244/C.16.10
URL : https://hal.archives-ouvertes.fr/inria-00548254

]. Y. Keller and A. Averbuch, Fast Motion Estimation Using Bidirectional Gradient Methods, IEEE Transactions on Image Processing, vol.13, issue.8, pp.1042-1054, 2004.
DOI : 10.1109/TIP.2004.823823

]. Y. Keller and A. Averbuch, Global parametric image alignment via high-order approximation, Computer Vision and Image Understanding, vol.109, issue.3, pp.244-259, 2008.
DOI : 10.1016/j.cviu.2007.05.003
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.3586

]. S. Lieberknecht, S. Benhimane, P. Meier, and N. Navab, A dataset and evaluation methodology for template-based tracking algorithms, 2009 8th IEEE International Symposium on Mixed and Augmented Reality, pp.145-151, 2009.
DOI : 10.1109/ISMAR.2009.5336487

]. T. Lindeberg, Feature Detection with Automatic Scale Selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998.
DOI : 10.1023/A:1008045108935

]. 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

]. B. Lucas and T. Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, International Joint Conference on Artificial Intelligence, pp.674-679, 1981.

]. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, Multimodality image registration by maximization of mutual information, IEEE Transactions on Medical Imaging, vol.16, issue.2, pp.187-198, 1997.
DOI : 10.1109/42.563664

]. E. Malis and S. Benhimane, A unified approach to visual tracking and servoing, Robotics and Autonomous Systems, vol.52, issue.1, pp.39-52, 2005.
DOI : 10.1016/j.robot.2005.03.014

]. E. Malis and E. Marchand, Experiments with robust estimation techniques in real-time robot vision, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
DOI : 10.1109/IROS.2006.282572
URL : https://hal.archives-ouvertes.fr/inria-00350297

]. E. Malis, Vision-based estimation and robot control. INRIA, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00411412

]. S. Mann and R. W. Picard, Video orbits of the projective group a simple approach to featureless estimation of parameters, IEEE Transactions on Image Processing, vol.6, issue.9, pp.1281-1295, 1997.
DOI : 10.1109/83.623191

]. I. Matthews, T. Ishikawa, and S. Baker, The template update problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.810-815, 2004.
DOI : 10.1109/TPAMI.2004.16

I. Matthews and S. Baker, Active Appearance Models Revisited, International Journal of Computer Vision, vol.60, issue.2, pp.135-164, 2004.
DOI : 10.1023/B:VISI.0000029666.37597.d3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.8544

]. R. Mégret, M. Mikram, and Y. Berthoumieu, Inverse Composition for Multi-kernel Tracking, Indian Conference on Computer Vision, Graphics and Image Processing, pp.480-491, 2006.
DOI : 10.1007/11949619_43

]. C. Mei, S. Benhimane, E. Malis, and P. Rives, Efficient Homography-based Tracking and 3D Reconstruction for Single Viewpoint Sensors, IEEE Transactions on Robotics, 2008.
DOI : 10.1109/tro.2008.2007941

]. K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554

]. K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227

]. T. Pham, M. Bezuijen, L. J. Van-vliet, K. Schutte, and C. L. Hendriks, Performance of optimal registration estimators, Visual Information Processing XIV, pp.133-144, 2005.
DOI : 10.1117/12.603304

]. B. Pires and P. M. Aguiar, Featureless global alignment of multiple images, IEEE International Conference on Image Processing 2005, pp.57-60, 2005.
DOI : 10.1109/ICIP.2005.1529686

]. M. Sabuncu, B. Yeo, K. Van-leemput, T. Vercauteren, and P. Golland, Asymmetric Image-Template Registration, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.565-573, 2009.
DOI : 10.1007/978-3-642-04268-3_70
URL : https://hal.archives-ouvertes.fr/inria-00616131

]. C. Shah, Y. Sheng, and L. C. Smith, Automated Image Registration Based on Pseudoinvariant Metrics of Dynamic Land-Surface Features, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.11, 2008.
DOI : 10.1109/TGRS.2008.2000636

]. J. Shi and C. Tomasi, Good Features to Track, IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pp.593-600, 1994.

R. Shum and . Szeliski, Construction of Panoramic Image Mosaics with Global and Local Alignment, International Journal of Computer Vision, vol.36, issue.2, pp.101-130, 2000.
DOI : 10.1007/978-1-4757-3482-9_13

]. G. Silveira, E. Malis, and P. Rives, An Efficient Direct Approach to Visual SLAM, IEEE Transactions on Robotics, vol.24, issue.5, 2008.
DOI : 10.1109/TRO.2008.2004829

]. S. Smith and J. M. Brady, SUSAN-A New Approach to Low Level Image Processing, International Journal of Computer Vision, pp.45-78, 1997.

]. S. Suri and P. Reinartz, Mutual-Information-Based Registration of TerraSAR-X and Ikonos Imagery in Urban Areas, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.2, pp.939-949, 2010.
DOI : 10.1109/TGRS.2009.2034842

]. R. Szeliski, Image Alignment and Stitching, pp.1-104, 2006.
DOI : 10.1007/0-387-28831-7_17

]. H. Tagare, D. Groisser, and O. Skrinjar, Symmetric Non-rigid Registration: A Geometric Theory and??Some Numerical Techniques, Journal of Mathematical Imaging and Vision, vol.23, issue.12, pp.61-88, 2009.
DOI : 10.1007/s10851-008-0129-7

]. C. Tomasi and T. Kanade, Detection and Tracking of Point Features. Rapport technique CMU-CS-91-132, 1991.

]. T. Vercauteren, X. Pennec, E. Malis, A. Perchant, and N. Ayache, Insight into Efficient Image Registration Techniques and the Demons Algorithm, International Conference on Information Processing in Medical Imaging, pp.495-506, 2007.
DOI : 10.1007/978-3-540-73273-0_41
URL : https://hal.archives-ouvertes.fr/inria-00165534

]. T. Vercauteren, X. Pennec, A. Perchant, and N. Ayache, Diffeomorphic demons: Efficient non-parametric image registration, NeuroImage, vol.45, issue.1, pp.561-572, 2009.
DOI : 10.1016/j.neuroimage.2008.10.040
URL : https://hal.archives-ouvertes.fr/inserm-00349600

V. Paul, M. William, and I. Wells, Alignment by Maximization of Mutual Information, Int. J. Comput. Vision, vol.24, issue.2, pp.137-154, 1997.

]. J. Watkinson, The mpeg handbook, 2004.

]. L. Xiao and P. Li, Improvement on Mean Shift based tracking using second-order information, International Conference on Pattern Recognition, pp.1-4, 2008.

]. J. Kosecka, Y. Ma, S. Soatto, S. Shankar, and . Sastry, An invitation to 3-d vision from image to geometric models, 2004.

]. B. Zitova and J. Flusser, Image registration methods: a survey, Image and Vision Computing, vol.21, issue.11, pp.977-1000, 2003.
DOI : 10.1016/S0262-8856(03)00137-9