A. E. Beaton and J. W. 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, 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), 2004.
DOI : 10.1109/IROS.2004.1389474

D. C. Brown, Close-range camera calibration, Photogrammetric Engineering, vol.4, issue.2, pp.127-140, 1971.

F. Chaumette, Asservissement visuel, La commande des robots manipulateurs, Traité IC2, chapter 3, pp.105-150, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00352073

F. Chaumette, S. Boukir, P. Bouthemy, 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

A. I. Comport, E. Marchand, and F. Chaumette, Efficient model-based tracking for robot vision, Advanced Robotics, vol.19, issue.10, 2005.
DOI : 10.1163/156855305774662226

URL : https://hal.archives-ouvertes.fr/inria-00351886

A. I. Comport, M. Pressigout, E. Marchand, and F. Chaumette, A visual servoing control law that is robust to image outliers, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), pp.492-497, 2003.
DOI : 10.1109/IROS.2003.1250677

URL : https://hal.archives-ouvertes.fr/inria-00352074

N. Daucher, M. Dhome, J. T. Lapreste, and G. Rives, Modelled Object Pose Estimation and Tracking by Monocular Vision, Procedings of the British Machine Vision Conference 1993, pp.249-258, 1993.
DOI : 10.5244/C.7.25

M. Dhome, M. Richetin, J. Lapresté, and G. Rives, 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.
DOI : 10.1109/34.41365

T. Drummond and R. Cipolla, Real-time visual tracking of complex structures, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.932-946, 2002.
DOI : 10.1109/TPAMI.2002.1017620

R. O. Duda and P. 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

O. Faugeras, F. Lustman, and G. Toscani, Motion and structure from motion from point and line matches, iccv, pp.25-34, 1987.

N. Fischler and R. C. 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

A. W. Fitzgibbon, Robust registration of 2D and 3D point sets, Image and Vision Computing, vol.21, issue.13-14, pp.12-131145, 2003.
DOI : 10.1016/j.imavis.2003.09.004

E. Grosso, G. Metta, A. Oddera, and G. Sandini, Robust visual servoing in 3-D reaching tasks, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.732-742, 1996.
DOI : 10.1109/70.538977

G. Hager and P. 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

R. Haralick, H. Joo, C. Lee, X. Zhuang, M. Vaidya et al., Pose estimation from corresponding point data, IEEE Transactions on Systems, Man, and Cybernetics, vol.19, issue.6, pp.1426-1445, 1989.
DOI : 10.1109/21.44063

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2001.
DOI : 10.1017/CBO9780511811685

R. Horaud, B. Conio, O. Leboulleux, and B. Lacolle, An analytic solution for the perspective 4-point problem, Computer Vision, Graphics, and Image Processing, vol.47, issue.1, pp.33-44, 1989.
DOI : 10.1016/0734-189X(89)90052-2

URL : https://hal.archives-ouvertes.fr/inria-00589992

P. V. Hough, Machine analysis of bubble chamber pictures, Int. Conf. on High Energy Accelerators and Instrumentation, pp.554-556, 1959.

P. Huber22, ]. S. Hutchinson, G. Hager, and P. Corke, Robust Statistics. Wiler A tutorial on visual servo control, IEEE Trans. on Robotics and Automation, vol.12, issue.5, pp.651-670, 1981.

J. Illingworth and J. Kittler, A survey of the hough transform, Computer Vision, Graphics, and Image Processing, vol.44, issue.1, pp.87-116, 1988.
DOI : 10.1016/S0734-189X(88)80033-1

D. Kragic and H. Christensen, Cue integration for visual servoing, IEEE Transactions on Robotics and Automation, vol.17, issue.1, pp.19-26, 2001.
DOI : 10.1109/70.917079

Y. Liu, T. S. Huang, and O. D. Faugeras, Determination of camera location from 2D to 3D line and point correspondences, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition, pp.28-37, 1990.
DOI : 10.1109/CVPR.1988.196218

D. G. Lowe, Three-dimensional object recognition from single two-dimensional images, Artificial Intelligence, vol.31, issue.3, pp.355-394, 1987.
DOI : 10.1016/0004-3702(87)90070-1

D. G. 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

E. Marchand, A. I. Comport, and F. Chaumette, Improvements in robust 2D visual servoing, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, pp.745-750, 2004.
DOI : 10.1109/ROBOT.2004.1307238

URL : https://hal.archives-ouvertes.fr/inria-00352029

F. Martin and R. Horaud, Multiple-Camera Tracking of Rigid Objects, The International Journal of Robotics Research, vol.20, issue.7, pp.97-113, 2001.
DOI : 10.1177/027836402760475324

URL : https://hal.archives-ouvertes.fr/inria-00072319

S. Maybank and O. Faugeras, A theory of self-calibration of a moving camera, International Journal of Computer Vision, vol.1, issue.2, pp.123-152, 1992.
DOI : 10.1007/BF00127171

J. Odobez and P. Bouthemy, Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, pp.348-365, 1995.
DOI : 10.1006/jvci.1995.1029

N. P. Papanikolopoulos and P. Khosla, Selection of features and evaluation of visual measurements for 3D robotic visual tracking, Int. Symp. on Intelligent Control, pp.320-325, 1993.

M. Pressigout and E. Marchand, Model-free augmented reality by virtual visual servoing, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.887-891, 2004.
DOI : 10.1109/ICPR.2004.1334401

URL : https://hal.archives-ouvertes.fr/inria-00352035

P. J. Rousseeuw, Least Median of Squares Regression, Journal of the American Statistical Association, vol.53, issue.388, pp.871-880, 1984.
DOI : 10.1214/aos/1176345451

P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection, 1987.
DOI : 10.1002/0471725382

C. Samson, M. L. Borgne, and B. Espiau, Robot Control: the Task Function Approach, 1991.

G. Simon and M. Berger, A two-stage robust statistical method for temporal registration from features of various type, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.261-266, 1998.
DOI : 10.1109/ICCV.1998.710728

URL : https://hal.archives-ouvertes.fr/inria-00107834

G. Simon and M. Berger, Pose estimation for planar structures, IEEE Computer Graphics and Applications, vol.22, issue.6, pp.46-53, 2002.
DOI : 10.1109/MCG.2002.1046628

URL : https://hal.archives-ouvertes.fr/inria-00100802

C. Taylor, J. Ostrowski, and S. Jung, Robust visual servoing based on relative orientation, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.574-580, 1999.
DOI : 10.1109/CVPR.1999.784972

T. Tommasini, A. Fusiello, E. Trucco, and V. Roberto, Making good features track better, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.178-183, 1998.
DOI : 10.1109/CVPR.1998.698606

Z. Zhang, R. Deriche, O. Faugeras, and Q. Luong, A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry, Artificial Intelligence, vol.78, issue.1-2, pp.87-119, 1995.
DOI : 10.1016/0004-3702(95)00022-4

URL : https://hal.archives-ouvertes.fr/inria-00074398