J. Salvi, J. Pages, and J. Batlle, Pattern codification strategies in structured light systems, Pattern Recognition, vol.37, issue.4, pp.827-849, 2004.
DOI : 10.1016/j.patcog.2003.10.002

A. Robinson, L. Alboul, and M. Rodrigues, Methods for indexing stripes in uncoded structured light scanning systems, 2004.

S. Chen, Y. F. Li, and J. Zhang, Vision Processing for Realtime 3-D Data Acquisition Based on Coded Structured Light, IEEE Transactions on Image Processing, vol.17, issue.2, pp.167-176, 2008.
DOI : 10.1109/TIP.2007.914755

L. Maier-hein, P. Mountney, A. Bartoli, H. Elhawary, D. Elson et al., Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery, Medical Image Analysis, vol.17, issue.8, pp.974-996, 2013.
DOI : 10.1016/j.media.2013.04.003

H. Haneishi, T. Ogura, and Y. Miyake, Profilometry of a gastrointestinal surface by an endoscope with laser beam projection, Optics Letters, vol.19, issue.9, pp.601-603, 1994.
DOI : 10.1364/OL.19.000601

K. Hasegawa, K. Noda, and Y. Sato, Electronic endoscope system for shape measurement, Proceedings of 16th International Conference on Pattern Recognition, pp.761-764, 2002.

J. Tardif, S. Roy, and J. Meunier, Projector-based augmented reality in surgery without calibration, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), pp.548-551, 2003.
DOI : 10.1109/IEMBS.2003.1279797

H. Kawasaki, R. Furukawa, R. Sagawa, and Y. Yagi, Dynamic scene shape reconstruction using a single structured light pattern, IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.

A. Ben-hamadou, C. Soussen, C. Daul, W. Blondel, and D. Wolf, Flexible calibration of structured-light systems projecting point patterns, Computer Vision and Image Understanding, vol.117, issue.10, pp.1468-1481, 2013.
DOI : 10.1016/j.cviu.2013.06.002
URL : https://hal.archives-ouvertes.fr/hal-00834582

W. E. Lorensen and H. E. Cline, Marching cubes: A high resolution 3D surface construction algorithm, ACM Siggraph Computer Graphics, pp.163-169, 1987.

G. H. Weber, G. Scheuermann, H. Hagen, and B. Hamann, Exploring scalar fields using critical isovalues, IEEE Visualization, 2002. VIS 2002., pp.171-178, 2002.
DOI : 10.1109/VISUAL.2002.1183772

K. Delibasis, G. Matsopoulos, N. Mouravliansky, and K. Nikita, A novel and efficient implementation of the marching cubes algorithm, Computerized Medical Imaging and Graphics, vol.25, issue.4, pp.343-352, 2001.
DOI : 10.1016/S0895-6111(00)00082-3

B. Golosio, G. L. Masala, and P. Oliva, A novel multithreshold method for nodule detection in lung CT, Medical Physics, vol.22, issue.8, pp.3607-3618, 2009.
DOI : 10.2307/2276774

G. L. Masala, B. Golosio, and P. Oliva, An improved Marching Cube algorithm for 3D data segmentation, Computer Physics Communications, vol.184, issue.3, pp.777-782, 2013.
DOI : 10.1016/j.cpc.2012.09.030

T. S. Newman and H. Yi, A survey of the marching cubes algorithm, Computers & Graphics, vol.30, issue.5, pp.854-879, 2006.
DOI : 10.1016/j.cag.2006.07.021

C. Montani, R. Scateni, and R. Scopigno, Discretized Marching Cubes, Proceedings Visualization '94, pp.281-287, 1994.
DOI : 10.1109/VISUAL.1994.346308
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.3182

N. Chernov and C. Lesort, Least Squares Fitting of Circles, Journal of Mathematical Imaging and Vision, vol.15, issue.3, pp.239-252, 2005.
DOI : 10.1007/s10851-005-0482-8

T. Okatani and K. Deguchi, Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center, Computer Vision and Image Understanding, vol.66, issue.2, pp.119-131, 1997.
DOI : 10.1006/cviu.1997.0613

*. Corresponding, Kouki Nagamune, Department of Human and Artificial Intelligent Systems, pp.910-8507