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

K. Deguchi, A direct interpretation of dynamic images with camera and object motions for vision guided robot control, International Journal of Computer Vision, vol.37, issue.1, pp.7-20, 2000.
DOI : 10.1023/A:1008151528479

K. Deguchi and T. Noguchi, Visual servoing using eigenspace method and dynamic calculation of interaction matrices, Proceedings of 13th International Conference on Pattern Recognition, pp.7-10, 1996.
DOI : 10.1109/ICPR.1996.546038

K. Hashimoto and H. Kimura, LQ OPTIMAL AND NONLINEAR APPROACHES TO VISUAL SERVOING, Visual Servoing, pp.165-198, 1993.
DOI : 10.1142/9789814503709_0006

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

S. Hutchinson, G. Hager, and P. 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

J. Lapresté and Y. Mezouar, A Hessian approach to visual servoing, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2004.
DOI : 10.1109/IROS.2004.1389483

E. Malis, Improving vision-based control using efficient secondorder minimization techniques, IEEE Int. Conf. on Robotics and Automation, pp.1843-1848, 2004.
DOI : 10.1109/robot.2004.1308092
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7824

E. Marchand, Control Camera and Light Source Positions using Image Gradient Information, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.417-422, 2007.
DOI : 10.1109/ROBOT.2007.363822
URL : https://hal.archives-ouvertes.fr/inria-00160949

K. Miura, J. Gangloff, and M. De-mathelin, Robust and uncalibrated visual servoing without Jacobian using a simplex method, IEEE/RSJ International Conference on Intelligent Robots and System, 2002.
DOI : 10.1109/IRDS.2002.1041407

S. K. Nayar, S. A. Nene, and H. Murase, Subspace methods for robot vision, IEEE Transactions on Robotics and Automation, vol.12, issue.5, pp.750-758, 1996.
DOI : 10.1109/70.538979