. Latroisì-eme-hypothèse-est-que-l-'environnement-est-lambertian, Cette hypothèse n'est bien sûr pas vérifiée en pratique Il sera donc nécessaire d'introduire des modelés photométriques plus génériques mais aussi d'analyser théoriquement l'influence des erreurs de modélisation sur la stabilité des lois de commande Concernant les hypothèses sur les caractéristiques du robot, la plupart des lois de commande référencées vision sont conçues en supposant que les robots sont holonômes. Ces robots sont globalement linéarisables par retour d'´ etat statique (permettant l'utilisation de techniques classiques de commande des systèmes linéaires) Pour des systèmes robotiques plus complexes (comme par exemple les robots non-holonômes) le modèle linéarisé autour de configurations fixes n'est pas commandable, Des nouvelles techniques de commande ont dûdûêtré elaborées pour ces systèmes. J'ai l'intention d'´ etudier si et comment les techniques de commande référencée vision que j'ai proposés pour les robots holonômes peuventêtrepeuventêtre généralisées ou adaptéesadaptéesà une large classe de systèmes robotiques complexes

E. Adelson and &. J. Bergen, The Plenoptic Function and the Elements of Early Vision. Computational Models of Visual Processing, Bibliography, issue.7, 1991.

A. , ]. P. Allen, A. Timcenko, and Y. B. Michelman, Automated Tracking and Grasping of a Moving Object with a Robotic Hand-Eye System, IEEE Transactions on Robotics and Automation, vol.9, issue.2, pp.152-165, 1993.

A. Ansar and &. K. Daniilidis, Linear pose estimation from points or lines, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.578-589, 2003.
DOI : 10.1109/TPAMI.2003.1195992

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.1147

S. Baker and &. K. Nayar, A theory of single-viewpoint catadioptric image formation, International Journal of Computer Vision, vol.35, issue.2 9, pp.1-22, 1999.

]. 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 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

J. P. Barreto and &. H. Araujo, Geometric Properties of Central Catadioptric Line Images, European Conf. on Computer Vision, pp.237-251, 2002.
DOI : 10.1007/3-540-47979-1_16

A. Bartoli and &. A. Zisserman, Direct Estimation of Non-Rigid Registration, Procedings of the British Machine Vision Conference 2004, pp.899-908, 2004.
DOI : 10.5244/C.18.92

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.1098

]. R. Basri, E. Rivlin, and &. I. Shimshoni, Visual homing : surfing on the epipole, International Journal of Computer Vision, vol.33, issue.2, pp.22-39
DOI : 10.1007/bfb0109660

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.5439

A. E. Beaton and &. J. Tukey, The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data, Technometrics, vol.29, issue.2, pp.147-185, 1974.
DOI : 10.1145/368959.368979

]. S. Benhimane and &. E. Malis, Vision-based control with respect to planar and non-planar objects using a zooming camera, IEEE International Conference on Advanced Robotics, pp.991-996, 2003.

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

S. Benhimane, E. Malis, P. Rives, and &. J. Azinheira, Vision-based Control for Car Platooning using Homography Decomposition, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp.2173-2178, 2005.
DOI : 10.1109/ROBOT.2005.1570433

]. S. Benhimane-06a, &. E. Benhimane, and . Malis, Homography-based 2D visual servoing, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp.2397-2402, 2006.
DOI : 10.1109/ROBOT.2006.1642061

]. S. Benhimane-06b, &. E. Benhimane, and . Malis, Integration of Euclidean constraints in template based visual tracking of piecewise-planar scenes, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1218-1223, 2006.
DOI : 10.1109/IROS.2006.281859

]. S. Benhimane-06c, &. E. Benhimane, and . Malis, A new approach to vision-based robot control with omni-directional cameras, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp.526-531, 2006.
DOI : 10.1109/ROBOT.2006.1641764

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

S. Benhimane, H. Najafi, M. Grundmann, Y. Genc, N. Navab et al., Real-time object detection and tracking for industrial applications, International Conference on Computer Vision Theory and Applications, p.52, 2008.

]. J. Bergen-92, P. Bergen, K. Anandan, &. R. Hanna, and . Hingorani, Hierarchical model-based motion estimation, European Conference on Computer Vision, pp.237-252, 1992.
DOI : 10.1007/3-540-55426-2_27

M. Black and &. A. Jepson, Eigen-tracking : robust matching and tracking of articulated objects using a view-based representation, International Journal of Computer Vision, vol.26, issue.1, pp.63-84, 1998.
DOI : 10.1023/A:1007939232436

J. F. Blinn, Models of Light Reflection for Computer Synthesized Pictures, SIGGRAPH, pp.192-198, 1977.

B. Boufama and &. R. Mohr, Epipole and fundamental matrix estimation using the virtual parallax property, IEEE International Conference on Computer Vision, pp.1030-1036, 1995.
URL : https://hal.archives-ouvertes.fr/inria-00548391

V. Brandou, E. Malis, P. Rives, A. M. Allais, and . Perrier, Active Stereovision Using Invariant Visual Servoing, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2326-2331, 2006.
DOI : 10.1109/IROS.2006.282640

V. Brandou, A. Allais, M. Perrier, E. Malis, P. Rives et al., 3D Reconstruction of Natural Underwater Scenes Using the Stereovision System IRIS, OCEANS 2007, Europe, p.88, 2007.
DOI : 10.1109/OCEANSE.2007.4302315

]. J. Carr, W. Fright, and &. R. Beatson, Surface interpolation with radial basis functions for medical imaging, IEEE Transactions on Medical Imaging, vol.16, issue.1, pp.55-59, 1997.
DOI : 10.1109/42.552059

E. Cervera, F. Berry, P. Martinet, and &. A. , Improving Image- Based Visual Servoing with 3D Features, International Journal of Robotics Research, p.74, 2003.
DOI : 10.1177/027836490302210003

URL : https://hal.archives-ouvertes.fr/hal-00095015

F. Chaumette, S. Boukir, P. Boutemy, and &. D. Juvin, Structure from controlled motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.5, pp.492-504, 1996.
DOI : 10.1109/34.494639

URL : https://hal.archives-ouvertes.fr/inria-00351862

F. Chaumette and &. S. Hutchinson, Visual servo control. I. Basic approaches, IEEE Robotics & Automation Magazine, vol.13, issue.4, pp.82-90, 2006.
DOI : 10.1109/MRA.2006.250573

URL : https://hal.archives-ouvertes.fr/inria-00350638

F. Chaumette and &. S. Hutchinson, Visual servo control. II. Advanced approaches [Tutorial], IEEE Robotics & Automation Magazine, vol.14, issue.1, pp.109-118, 2007.
DOI : 10.1109/MRA.2007.339609

URL : https://hal.archives-ouvertes.fr/inria-00350638

C. C. Cheah, S. Kawamura, and &. S. Arimoto, Feedback control for robotic manipulator with uncertain kinematics and dynamics, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), pp.3607-3612, 1998.
DOI : 10.1109/ROBOT.1998.681027

G. Chesi, E. Malis, and &. R. Cipolla, Collineation estimation from two unmatched views of an unknown planar contour for visual servoing, British Machine Vision Conference, pp.224-233, 1999.

G. Chesi, E. Malis, and &. R. Cipolla, Automatic segmentation and matching of planar contours for visual servoing, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), pp.2753-2758, 2000.
DOI : 10.1109/ROBOT.2000.846444

A. Comport, E. Malis, and &. P. Rives, Accurate Quadrifocal Tracking for Robust 3D Visual Odometry, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.56-66, 2007.
DOI : 10.1109/ROBOT.2007.363762

URL : https://hal.archives-ouvertes.fr/hal-01357382

R. L. Cook and &. E. Torrance, A Reflectance Model for Computer Graphics, ACM Transactions on Graphics, vol.1, issue.1, pp.7-24, 1982.
DOI : 10.1145/357290.357293

T. F. Cootes, G. J. Edwards, and &. J. Taylor, Active appearence models, European Conference on Computer Vision, pp.484-498, 1998.

J. Courbon, Y. Mezouar, L. Eckt, and &. P. Martinet, A generic fisheye camera model for robotic applications, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1683-1688
DOI : 10.1109/IROS.2007.4399233

]. A. Davison, Real-time simultaneous localisation and mapping with a single camera, Proceedings Ninth IEEE International Conference on Computer Vision, p.47, 2003.
DOI : 10.1109/ICCV.2003.1238654

]. A. De-luca-07a, G. De-luca, &. P. Oriolo, and . Giordano, Image-based visual servoing schemes for nonholonomic mobile manipulators, Robotica, vol.25, issue.02, pp.131-145, 2007.
DOI : 10.1017/S0263574706003262

]. A. De-luca-07b, G. De-luca, &. P. Oriolo, and . Giordano, On-Line Estimation of Feature Depth for Image-Based Visual Servoing Schemes, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.2823-2828, 2007.
DOI : 10.1109/ROBOT.2007.363899

&. L. Dementhon and . Davis, Model-based object pose in 25 lines of code, International Journal of Computer Vision, vol.5, issue.1-2, pp.123-141, 1995.
DOI : 10.1007/BF01450852

]. Deng, F. Janabi-sharifi, and &. W. Wilson, Stability and robustness of visual servoing methods, icra, pp.1604-1609, 2002.

]. J. Dennis, &. Schnabel, and R. B. , Numerical methods for unconstrained optimization and nonlinear equations, Classics in applied mathematics. SIAM, pp.17-36, 1983.
DOI : 10.1137/1.9781611971200

R. Deriche and &. G. Giraudon, Accurate corner detection: an analytical study, [1990] Proceedings Third International Conference on Computer Vision, pp.66-70, 1990.
DOI : 10.1109/ICCV.1990.139495

URL : https://hal.archives-ouvertes.fr/inria-00075140

M. Richetin and &. J. Lapreste, Determination of the Attitude of 3D Objects from a Single Perspective View, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.12, pp.1265-1278, 1989.

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

]. R. Duda and &. E. Hart, Use of the Hough transformation to detect lines and curves in pictures, Communications of the ACM, vol.15, issue.1, pp.11-15, 1972.
DOI : 10.1145/361237.361242

B. Espiau, F. Chaumette, and &. P. Rives, A new approach to visual servoing in robotics, IEEE Transactions on Robotics and Automation, vol.8, issue.3, pp.313-326, 1992.
DOI : 10.1109/70.143350

E. Espiau, &. P. Malis, and . Rives, Robust features tracking for robotic applications: towards 2 1/2 D visual servoing with natural images, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.574-579, 2002.
DOI : 10.1109/ROBOT.2002.1013420

J. Fabrizio, J. Tarel, and &. R. Benosman, Calibration of panoramic catadioptric sensors made easier, Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02, p.46, 2002.
DOI : 10.1109/OMNVIS.2002.1044490

D. Dixon, &. P. Dawson, and . Chawda, Homography-Based Visual Servoing of Wheeled Mobile Robots, IEEE Transactions on Systems, Man, and Cybernetics -Part B, vol.35, issue.5, pp.1041-1050, 2005.

O. D. Faugeras and &. G. Toscani, Camera calibration for 3D computer vision, International Workshop on Machine Vision and Machine Intelligence, pp.240-247, 1987.

]. O. Faugeras and &. F. Lustman, MOTION AND STRUCTURE FROM MOTION IN A PIECEWISE PLANAR ENVIRONMENT, International Journal of Pattern Recognition and Artificial Intelligence, vol.02, issue.03, pp.485-508, 1988.
DOI : 10.1142/S0218001488000285

URL : https://hal.archives-ouvertes.fr/inria-00075698

O. Faugeras, Q. Luong, and &. T. Papadopoulo, The geometry of multiple images : The laws that govern the formation of multiple images of a scene and some of their applications, pp.11-47, 2001.

M. A. Fischler and &. R. 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.
DOI : 10.1145/358669.358692

D. J. Fleet, M. J. Black, Y. Yacoob, &. Allan, and D. Jepson, Design and Use of Linear Models for Image Motion Analysis, Int. J

&. C. Morin and . Samson, A Framework for the Control of Nonholonomic Mobile Manipulators, International Journal of Robotics Research, vol.25, issue.8, pp.745-780, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00070450

. Garcia-aracil-05a-]-n, E. Garcia-aracil, R. Malis, &. C. Aracil-santonja, . Perez-vidalgarcia-aracil-05b-]-n et al., Continuous visual servoing despite the changes of visibility in image features, IEEE International Conference on Robotics and Automation IEEE/RSJ International Conference on Intelligent Robots Systems International Conference on Informatics in Control, Automation and Robotics International Conference on Computer Vision Daniilidis. A Unifying Theory for Central Panoramic Systems and Practical Applications European Conf. on Computer Vision IEEE International Conference on Computer Vision and Pattern Recognition, pp.1214-1220, 1997.
DOI : 10.1109/TRO.2005.855995

W. Hager, &. A. Chang, G. D. Morse, &. N. Hager, T. Belhumeur et al., Robot hand-eye coordination based on stereo vision, IEEE International Conference on Robotics and Automation Proceedings of the 4th Alvey Vision Conference, pp.30-39, 1988.
DOI : 10.1109/37.341862

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.8960

]. R. Hartley-00, &. A. Hartley, and . Zisserman, Multiple view geometry in computer vision, pp.11-47, 2000.
DOI : 10.1017/CBO9780511811685

R. Horaud, F. Dornaika, B. Lamiroy, and &. S. Christy, Object Pose : The Link between Weak Perspective, Paraperspective, and Full Perspective, International Journal of Computer Vision, vol.22, issue.2, pp.173-189, 1997.
DOI : 10.1023/A:1007940112931

URL : https://hal.archives-ouvertes.fr/inria-00590070

R. Horaud, F. Dornaika, and &. B. Espiau, Visually guided object grasping, IEEE Transactions on Robotics and Automation, vol.14, issue.4, pp.525-532, 1998.
DOI : 10.1109/70.704214

URL : https://hal.archives-ouvertes.fr/inria-00590088

B. Horn and &. B. Schunk, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

&. E. Weldon, Direct methods for recovering motion, International Journal of Computer Vision, vol.2, pp.51-76, 1988.

]. P. Huber-81 and . Huber, Robust statistics, pp.41-46, 1981.

]. S. Hutchinson, G. D. Hager, and &. I. Corke, A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.651-670, 1996.
DOI : 10.1109/70.538972

M. Irani and &. P. Anandan, All about direct methods, editeurs, Vision Algorithms : Theory and practice, numéro 1883 in Lecture Notes in Computer Science, pp.267-277

M. Irani and &. P. Anandan, Direct recovery of planar-parallax from multiple frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.11, pp.1528-1534, 2002.
DOI : 10.1109/TPAMI.2002.1046174

H. Jin, P. Favaro, and &. S. Soatto, A semi-direct approach to structure from motion. The Visual Computer, pp.377-394, 2003.

]. R. Kumar-94a, P. Kumar, &. K. Anandan, and . Hanna, Direct recovery of shape from multiple views: a parallax based approach, Proceedings of 12th International Conference on Pattern Recognition, pp.685-688, 1994.
DOI : 10.1109/ICPR.1994.576402

]. R. Kumar-94b, &. A. Kumar, and . Hanson, Robust Methods for Estimating Pose and a Sensitivity Analysis, Computer Vision, Graphics, and Image Processing : Image Understanding, pp.313-342, 1994.

M. L. Cascia, S. Sclaroff, and &. V. Athitsos, Fast, reliable head tracking under varying illumination, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.322-336, 2000.
DOI : 10.1109/CVPR.1999.787001

]. D. Lowe, Fitting parameterized three-dimensional models to images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.5, pp.441-450, 1991.
DOI : 10.1109/34.134043

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.7868

G. David and . Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.

C. Lu, G. Hager, and &. E. Mjolsness, Fast and globally convergent pose estimation from video images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.6, pp.610-622, 2000.
DOI : 10.1109/34.862199

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.9767

]. B. Lucas and &. T. Kanade, An iterative image registration technique with application to stereo vision, International Joint Conference on Artificial Intelligence, pp.674-679, 1981.

S. Ma, J. Soatto, &. S. Kosecka, and . Sastry, An invitation to 3-d vision : From images to geometric models, pp.11-47, 2003.
DOI : 10.1007/978-0-387-21779-6

R. Mahony and &. T. Hamel, Visual servoing using linear features for underactuated rigid bodydynamics, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1153-1158, 2001.
DOI : 10.1109/iros.2001.976324

R. Mahony and &. J. Manton, The Geometry of the Newton Method on Non- Compact Lie Groups, Journal of Global Optimization, vol.23, issue.3/4, pp.309-327, 2002.
DOI : 10.1023/A:1016586831090

E. Malis, F. Chaumette, and &. S. Boudet, 2 1/2 D visual servoing, IEEE Transactions on Robotics and Automation, vol.15, issue.2, pp.234-246, 1999.
DOI : 10.1109/70.760345

URL : https://hal.archives-ouvertes.fr/inria-00073302

]. E. Malis-00a, F. Malis, &. S. Chaumette, and . Boudet, 2 1/2 D Visual Servoing with Respect to Unknown Objects Through a New Estimation Scheme of Camera Displacement, International Journal of Computer Vision, vol.37, issue.1, pp.79-97, 2000.
DOI : 10.1023/A:1008181530296

]. E. Malis-00b, &. R. Malis, and . Cipolla, Multi-view Constraints between Collineations: Application to Self-Calibration from Unknown Planar Structures, European Conference on Computer Vision, pp.610-624, 2000.
DOI : 10.1007/3-540-45053-X_39

]. E. Malis-00c, &. R. Malis, and . Cipolla, Self-calibration of zooming cameras observing an unknown planar structure, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.85-88, 2000.
DOI : 10.1109/ICPR.2000.905281

]. E. Malis-01a and . Malis, Hybrid vision-based robot control robust to large calibration errors on both intrinsic and extrinsic camera parameters, European Control Conference, pp.2898-2903, 2001.

]. E. Malis-01b and . Malis, Vision-based control using different cameras for learning the reference image and for servoing, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), pp.1428-1433, 2001.
DOI : 10.1109/IROS.2001.977181

]. E. Malis-01c and . Malis, Visual servoing invariant to changes in camera intrinsic parameters, International Conference on Computer Vision, pp.704-709, 2001.

]. E. Malis-02a and . Malis, Stability Analysis of Invariant Visual Servoing and Robustness to Parametric Uncertainties, Joint CSS/RAS International Workshop on Control Problems in Robotics and Automation, pp.75-99, 2002.
DOI : 10.1007/3-540-36224-X_17

]. E. Malis-02b and . Malis, Survey of vision-based robot control, European Naval Ship Design, pp.14-71, 2002.

]. E. Malis-02c and . Malis, An Unified Approach to Model-Based and Model-Free Visual Servoing, European Conference on Computer Vision, pp.433-447, 2002.
DOI : 10.1007/3-540-47979-1_29

]. E. Malis-02d and . Malis, Vision-based control invariant to camera intrinsic parameters: stability analysis and path tracking, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.217-222, 2002.
DOI : 10.1109/ROBOT.2002.1013364

]. E. Malis-02e, J. Malis, &. P. Borelly, and . Rives, Intrinsics-free visual servoing with respect to straight lines, IEEE/RSJ International Conference on Intelligent Robots and System, pp.384-389, 2002.
DOI : 10.1109/IRDS.2002.1041419

]. E. Malis-02f, &. F. Malis, and . Chaumette, Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods, IEEE Transactions on Robotics and Automation, vol.18, issue.2, pp.176-186, 2002.
DOI : 10.1109/TRA.2002.999646

]. E. Malis-02g, &. R. Malis, and . Cipolla, Camera self-calibration from unknown planar structures enforcing the multiview constraints between collineations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.9, pp.1268-1272, 2002.
DOI : 10.1109/TPAMI.2002.1033217

]. E. Malis-03a and . Malis, Control problems in robotics, volume 4 of Springer Tracts in Advanced Robotics, chapitre Stability Analysis of Invariant Visual Servoing and Robustness to Parametric Uncertainties, pp.265-277

]. E. Malis-03b, G. Malis, &. R. Chesi, &. P. Cipolla-malis, . Rivesmalis-03d-]-e et al., Special Issue on Visual Servoing Robustness of Image-Based Visual Servoing with Respect to Depth Distribution Errors Uncalibrated Active Affine Reconstruction closing the loop by Visual Servoing 100) [Malis 04a] E. Malis. Improving vision-based control using efficient second-order minimization techniques 101) [Malis 04b] E. Malis. Visual servoing invariant to changes in camera intrinsic parameters Euclidean Reconstruction Independent on Camera Intrinsic Parameters Framework for Real-time Visual Tracking and Servoing 102) [Malis 05] E. Malis & S. Benhimane. A unified approach to visual tracking and servoing Experiments with robust techniques in realtime robotic vision, 1/2 D visual servoing with respect to planar contours having complex and unknown shapes. International Journal of Robotic Research IEEE/RSJ International Conference on Intelligent Robots Systems IEEE International Conference on Robotics and Automation IEEE/RSJ International Conference on Intelligent Robots Systems Workshop on Advances in Robot Vision, IEEE/RSJ International Conference on Intelligent Robots Systems IEEE/RSJ International Conference on Intelligent Robots SystemsMalis 07a] E. Malis. An efficient unified approach to direct visual tracking of rigid and deformable surfaces IEEE/RSJ International Conference on Intelligent Robots SystemsMartinet 97] P. Martinet, N. Daucher, J. Gallice & M. Dhome. Robot control using monocular pose estimation. In Workshop on New Trends In Image- Based Robot Servoing, pp.841-853, 1997.

L. Matthies, T. Kanade, and &. R. Szeliski, Kalman Filter-based Algorithms for Estimating Depth from Image Sequences, International Journal of Computer Vision, issue.3, pp.209-236, 1989.
DOI : 10.1007/bf00133032

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.8952

M. Maya, P. Morin, and &. C. Samson, Control of a Nonholonomic Mobile Robot Via Sensor-based Target Tracking and Pose Estimation, IEEE International Conference on Intelligent Robots and Systems, pp.5612-5618, 2006.

]. C. Mei-06a, S. Mei, E. Benhimane, &. P. Malis, and . Rives, Homography-based Tracking for Central Catadioptric Cameras, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.669-674, 2006.
DOI : 10.1109/IROS.2006.282553

]. C. Mei-06b, &. E. Mei, and . Malis, Fast central catadioptric line extraction, estimation, tracking and structure from motion, IEEE/RSJ International Conference on Intelligent Robots Systems, pp.4774-4779, 2006.

]. C. Mei-06c, E. Mei, S. Malis, &. P. Benhimane, and . Rives, Constrained Multiple Planar Template Tracking for Central Catadioptric Cameras, British Machine Vision Conference, p.64, 2006.

C. Mei and &. P. Rives, Single View Point Omnidirectional Camera Calibration from Planar Grids, Proceedings 2007 IEEE International Conference on Robotics and Automation, p.46, 2007.
DOI : 10.1109/ROBOT.2007.364084

URL : https://hal.archives-ouvertes.fr/hal-00767674

P. Mendonça and &. R. Cipolla, A Simple Techinique for Self-Calibration

Y. Mezouar and &. E. Malis, Robustness of central catadioptric image-based visual servoing to uncertainties on 3D parameters, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), pp.1389-1394, 2004.
DOI : 10.1109/IROS.2004.1389590

A. J. Molton, &. D. Davison, and . Reid, Locally Planar Patch Features for Real-Time Structure from Motion, Procedings of the British Machine Vision Conference 2004, p.65, 2004.
DOI : 10.5244/C.18.90

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.422.1885

T. Moons, L. Van-gool, M. Proesmans, and &. E. Pauwels, Affine reconstruction from perspective image pairs with a relative object-camera translation in between, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.1, pp.77-83, 1996.
DOI : 10.1109/34.476015

F. Moreno, V. Lepetit, and &. P. Fua, Accurate Non-Iterative O(n) Solution to the PnP Problem, International Conference on Computer Vision, pp.1-8, 2007.

&. H. Nakamura and . Hanafusa, Inverse Kinematic Solutions With Singularity Robustness for Robot Manipulator Control, Journal of Dynamic Systems, Measurement, and Control, vol.108, issue.3, pp.163-171, 1986.
DOI : 10.1115/1.3143764

D. Nister, O. Naroditsky, and &. J. Bergen, Visual odometry for ground vehicle applications, Journal of Field Robotics, vol.15, issue.1, p.47, 2006.
DOI : 10.1002/rob.20103

X. Pennec, P. Cachier, and &. N. Ayache, Understanding the ???Demon???s Algorithm???: 3D Non-rigid Registration by Gradient Descent, Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MIC- CAI'99), pp.597-605, 1999.
DOI : 10.1007/10704282_64

M. Pollefeys, R. Koch, and &. L. Vangool, Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters, pp.7-25, 1999.

A. Quarteroni, R. Sacco, and &. F. Salieri, Numerical mathematics, pp.17-22, 2000.
DOI : 10.1007/b98885

P. Rogel and &. S. Kova, Symmetric image registration, Medical Image Analysis, vol.10, issue.3, pp.484-493, 2006.
DOI : 10.1016/j.media.2005.03.003

E. Royer, M. Lhuillier, M. Dhome, and &. J. Lavest, Monocular Vision for Mobile Robot Localization and Autonomous Navigation, International Journal of Computer Vision, vol.32, issue.1, pp.237-260, 2007.
DOI : 10.1007/s11263-006-0023-y

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.2211

S. Se, D. Lowe, and &. J. Little, Vision-based global localization and mapping for mobile robots, IEEE Transactions on Robotics, vol.21, issue.3, pp.364-375, 2005.
DOI : 10.1109/TRO.2004.839228

]. G. Silveira-06a, E. Silveira, &. P. Malis, and . Rives, Real-time Robust Detection of Planar Regions in a Pair of Images, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.49-54, 2006.
DOI : 10.1109/IROS.2006.282189

]. G. Silveira-06b, E. Silveira, &. P. Malis, and . Rives, Visual servoing over unknown, unstructured, large-scale scenes, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp.4142-4147, 2006.
DOI : 10.1109/ROBOT.2006.1642339

]. G. Silveira-07a, &. E. Silveira, and . Malis, Direct visual servoing with respect to rigid objects, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.80-81, 2007.
DOI : 10.1109/IROS.2007.4399487

]. G. Silveira-07b, &. E. Silveira, and . Malis, Real-time Visual Tracking under Arbitrary Illumination Changes, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.54-60, 2007.
DOI : 10.1109/CVPR.2007.382993

]. G. Silveira-07c, E. Silveira, &. P. Malis, C. Rives, &. Smith et al., An Efficient Direct Method for Improving visual SLAM Computation of shape through controlled active exploration Model-Based Brightness Constraints : On Direct Estimation of Structure and Motion Direct Method for Visual Scene Reconstruction (page 54) [Thirion 98] J. Thirion. Image matching as a diffusion process : an analogy with Maxwell's demons Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure Vision Algorithms : Theory and practice, numéro 1883 in Lecture Notes in Computer Science (page 50) [Triggs 98] B. Triggs. Autocalibration from planar scenes Bundle Adjustment ? A Modern Synthesis A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses, IEEE International Conference on Robotics and Automation IEEE Workshop on Representation of Visual Scenes IEEE International Conference on Computer Visionpage 43) [Triggs 97] B. Triggs. Autocalibration and the Absolute Quadric IEEE International Conference on Computer Vision and Pattern Recognition European Conference of Computer Vision B. Triggs, A. Zisserman & R. Szeliski, editeurs, Vision Algorithms : Theory and Practice) [Varadarajan 74] V. Varadarajan. Lie groups, lie algebras, and their representation of Graduate Texts in Mathematics, pp.65-2516, 1974.

M. Vargas and &. E. Malis, Visual servoing based on an analytical homography decomposition, Proceedings of the 44th IEEE Conference on Decision and Control, pp.5379-5384, 2005.
DOI : 10.1109/CDC.2005.1583017

T. Vercauteren, X. Pennec, E. Malis, A. Perchant, and &. N. Ayache, Insight into Efficient Image Registration Techniques and the Demons Algorithm, Information Processing in Medical Imaging, pp.54-102, 2007.
DOI : 10.1007/978-3-540-73273-0_41

URL : https://hal.archives-ouvertes.fr/inria-00165534

C. W. Wampler, Manipulator Inverse Kinematic Solutions Based on Vector Formulations and Damped Least-Squares Methods, IEEE Transactions on Systems, Man, and Cybernetics, vol.16, issue.1, pp.93-101, 1986.
DOI : 10.1109/TSMC.1986.289285

H. Wang, L. Dong, J. O. Daniel, R. Mohan, A. Garden et al., Validation of an accelerated ???demons??? algorithm for deformable image registration in radiation therapy, Physics in Medicine and Biology, vol.50, issue.12, pp.2887-2905, 2005.
DOI : 10.1088/0031-9155/50/12/011

W. Frank and . Warner, Foundations of differentiable manifolds and lie groups, pp.4-32, 1971.

]. L. Weiss, A. C. Sanderson, and &. P. Neuman, Dynamic sensor-based control of robots with visual feedback, IEEE Journal on Robotics and Automation, vol.3, issue.5, pp.404-417, 1987.
DOI : 10.1109/JRA.1987.1087115

J. Weng, P. Cohen, and &. M. Herniou, Camera calibration with distortion models and accuracy evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.10, pp.965-980, 1992.
DOI : 10.1109/34.159901

W. J. Wilson, C. C. Hulls, and &. G. Bell, Relative end-effector control using Cartesian position based visual servoing, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.684-696, 1996.
DOI : 10.1109/70.538974

&. A. Zhang and . Hanson, 3D Reconstruction Based on Homography Mapping, ARPA Image Understanding Workshop, p.48, 1996.

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