S. Audet and M. Okutomi, A user-friendly method to geometrically calibrate projector-camera systems, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.47-54, 2009.
DOI : 10.1109/CVPRW.2009.5204319

O. Bimber and R. Raskar, Spatial Augmented Reality: Merging Real and Virtual Worlds, 2005.
DOI : 10.1201/b10624

G. Bradski and A. Kaehler, Learning OpenCV. O'Reilly, 2008.

A. Datta, J. Kim, and T. Kanade, Accurate camera calibration using iterative refinement of control points, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.1201-1208, 2009.
DOI : 10.1109/ICCVW.2009.5457474

W. Gao, L. Wang, and Z. Hu, Flexible method for structured light system calibration, Optical Engineering, vol.47, issue.8, pp.83602-083602, 2008.
DOI : 10.1117/1.2969118

J. I. González, J. C. Gámez, C. G. Artal, and A. N. Cabrera, Stability Study of Camera Calibration Methods, CI Workshop en Agentes Físicos, WAF, 2005.

B. Li, N. Karpinsky, and S. Zhang, Novel calibration method for structured-light system with an out-of-focus projector, Applied Optics, vol.53, issue.16, pp.533415-3426, 2014.
DOI : 10.1364/AO.53.003415.m001

Z. Li, Y. Shi, C. Wang, and Y. Wang, Accurate calibration method for a structured light system, Optical Engineering, vol.47, issue.5, pp.53604-053604, 2008.
DOI : 10.1117/1.2931517

H. Luo, J. Xu, N. H. Binh, S. Liu, C. Zhang et al., A simple calibration procedure for structured light system, Optics and Lasers in Engineering, vol.57, pp.6-12, 2014.
DOI : 10.1016/j.optlaseng.2014.01.010

D. Nistér and H. Stewénius, Linear Time Maximally Stable Extremal Regions, 10th European Conference on Computer Vision, ECCV, pp.183-196, 2008.
DOI : 10.1007/978-3-540-88688-4_14

J. Ouellet, F. Rochette, and P. Hébert, Geometric Calibration of a Structured Light System using Circular Control Points, 3D Data Processing, Visualization and Transmission, 3DPVT, pp.183-190, 2008.

C. Resch, H. Naik, P. Keitler, S. Benkhardt, and G. Klinker, On-Site Semi-Automatic Calibration and Registration of a Projector-Camera System Using Arbitrary Objects with Known Geometry, IEEE Transactions on Visualization and Computer Graphics, vol.21, issue.11, pp.1211-1220, 2015.
DOI : 10.1109/TVCG.2015.2459898

S. Shih, Y. Hung, and W. Lin, Accuracy Analysis on the Estimation of Camera Parameters for Active Vision Systems, 13th International Conference on Pattern Recognition, pp.930-935, 1996.

K. Yamauchi, H. Saito, and Y. Sato, Calibration of a Structured Light System by Observing Planar Object from Unknown Viewpoints, 19th International Conference on Pattern Recognition, ICPR, pp.1-4, 2008.

S. Yamazaki, M. Mochimaru, and T. Kanade, Simultaneous selfcalibration of a projector and a camera using structured light, IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.60-67, 2011.

L. Yang, J. Normand, and G. Moreau, Local Geometric Consensus: A General Purpose Point Pattern-Based Tracking Algorithm, IEEE Transactions on Visualization and Computer Graphics, vol.21, issue.11, pp.1299-1308, 2015.
DOI : 10.1109/TVCG.2015.2459897
URL : https://hal.archives-ouvertes.fr/hal-01276767

S. Zhang and P. S. Huang, Novel method for structured light system calibration, Optical Engineering, vol.45, issue.8, pp.83601-083601, 2006.

Z. Zhang, A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.11, pp.1330-1334, 2000.
DOI : 10.1109/34.888718