P. J. Besl, Advances in Machine Vision -Chapter Active Optical Range Imaging Sensors, 1988.

B. Curless, Overview of Active Vision Techniques, SIGGRAPH'99, 1999.

P. Jacquot, Speckle Interferometry: A Review of the Principal Methods in Use for Experimental Mechanics Applications, Strain, vol.44, issue.1, pp.57-69, 2008.
DOI : 10.1111/j.1475-1305.2008.00372.x

R. Jones and C. Wykes, Holographic and Speckle Interferometry, 1989.

K. Creath and J. Wyant, MoiréMoir´Moiré and fringe projection techniques, Optical shop testing, pp.653-85, 1992.

L. B. Wolff and T. E. Boult, Constraining object features using a polarization reflectance model, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.7, pp.635-657, 1991.
DOI : 10.1109/34.85655

O. Morel, C. Stolz, F. Meriaudeau, and P. Gorria, Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging, Applied Optics, vol.45, issue.17, pp.4062-4068, 2006.
DOI : 10.1364/AO.45.004062

URL : https://hal.archives-ouvertes.fr/tel-00157655

C. P. Huynh, A. Robles-kelly, and E. Hancock, Shape and refractive index recovery from single-view polarisation images, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1229-1236, 2010.
DOI : 10.1109/CVPR.2010.5539828

G. Eren, O. Aubreton, F. Meriaudeau, S. Secades, D. Fofi et al., Scanning from heating: 3D shape estimation of transparent objects from local surface heating, Optics Express, vol.17, issue.14, pp.11457-11468, 2009.
DOI : 10.1364/OE.17.011457

URL : https://hal.archives-ouvertes.fr/hal-00578332

R. Rantoson, C. Stolz, D. Fofi, and F. Meriaudeau, Optimization of transparent objects digitization from visible fluorescence ultraviolet induced, Optical Engineering, vol.51, issue.3, pp.33601-33602, 2012.
DOI : 10.1117/1.OE.51.3.033601.2

S. Chambon, Mise en correspondance stéréoscopiquest´stérstér´stéréoscopique d'images couleur en présencepr´présence d'occultations, 2005.

T. Molinier, D. Fofi, J. Salvi, and P. Gorria, 2D virtual texture on 3D real object with coded structured light, Image Processing: Machine Vision Applications, 2008.
DOI : 10.1117/12.766691

J. J. Gibson, The Perception of the Visual World, The American Journal of Psychology, vol.64, issue.3, 1950.
DOI : 10.2307/1419017

S. Christy and R. Horaud, Euclidean shape and motion from multiple perspective views by affine iterations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.11, pp.1098-1104, 1996.
DOI : 10.1109/34.544079

URL : https://hal.archives-ouvertes.fr/inria-00590057

S. Nayar and Y. Nakagawa, Shape from focus, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.8, pp.824-831, 1994.
DOI : 10.1109/34.308479

J. Salvi, J. Pagèspag-`-pagès, 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

M. Minou, T. Kanade, and T. Sakai, A method of time-coded parallel planes of light for depth measurement, Trans. Institute of Electronics and Communication Engineers of Japan, vol.64, pp.521-528, 1981.

J. Posdamer and M. Altschuler, Surface measurement by space-encoded projected beam systems, Computer Graphics and Image Processing, vol.18, issue.1, pp.1-17, 1982.
DOI : 10.1016/0146-664X(82)90096-X

S. Inokuchi, K. Sato, and F. Matsuda, Range imaging system for 3-d object recognition, Pattern Recognition, 1984.

J. Tajima and M. Iwakawa, 3-D data acquisition by Rainbow Range Finder, [1990] Proceedings. 10th International Conference on Pattern Recognition, pp.309-313, 1990.
DOI : 10.1109/ICPR.1990.118121

T. Sato, Multispectral pattern projection range finder Three-Dimensional Image Capture and Applications, pp.28-37, 1999.
DOI : 10.1117/12.341069

P. Griffin, L. Narasimhan, and S. Yee, Generation of uniquely encoded light patterns for range data acquisition, Pattern Recognition, vol.25, issue.6, pp.609-616, 1992.
DOI : 10.1016/0031-3203(92)90078-W

C. Davies and M. Nixon, A Hough transform for detecting the location and orientation of three-dimensional surfaces via color encoded spots, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.28, issue.1, pp.90-95, 1998.
DOI : 10.1109/3477.658582

S. Kiyasu, H. Hoshino, K. Yano, and S. Fujimura, Measurement of the 3-D shape of specular polyhedrons using an M-array coded light source, IEEE Transactions on Instrumentation and Measurement, vol.44, issue.3, pp.775-778, 1995.
DOI : 10.1109/19.387330

J. Forest, G. Sansoni, M. Trebeschi, and F. Docchio, New methods for triangulation-based shape acquisition using laser scanners State-of-the-art and applications of 3d imaging sensors in industry, cultural heritage, medicine, and criminal investigation, Sensors, vol.9, pp.568-601, 2004.

O. Faugeras, Three-dimensional Computer Vision : A Geometric Viewpoint, 1993.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2003.
DOI : 10.1017/CBO9780511811685

H. A. Beyer, Accurate calibration of ccd-cameras Computer Vision and Pattern Recognition, pp.96-101, 1992.

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

R. Y. Tsai, A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses, IEEE Journal on Robotics and Automation, vol.3, issue.4, pp.323-344, 1987.
DOI : 10.1109/JRA.1987.1087109

O. D. Faugeras and G. Toscani, The Calibration Problem for Stereo Computer Vision and Pattern Recognition, pp.15-20, 1986.

J. Bouguet, Camera calibration toolbox for matlab

J. Salvi, X. Armangú, and J. Batlle, A comparative review of camera calibrating methods with accuracy evaluation, Pattern Recognition, vol.35, issue.7, pp.1617-1635, 2002.
DOI : 10.1016/S0031-3203(01)00126-1

Z. Zhang, Camera calibration Emergin Topics in Computer Vision, pp.4-43, 2004.

F. Remondino and C. Fraser, Digital camera calibration methods : considerations and comparisons, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2006.

K. Perlin, An image synthesizer, pp.287-296, 1985.

K. Perlin, Improving noise, ACM Trans. Graph, vol.21, pp.681-682, 2002.

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.7-42, 2002.
DOI : 10.1109/SMBV.2001.988771

E. Castillo, J. Liang, and H. Zhao, Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates, 2013.
DOI : 10.1007/978-3-642-34141-0_13

F. Calderon, U. Ruiz, and M. Rivera, Surface???Normal Estimation with Neighborhood Reorganization for 3D Reconstruction, Pattern Recognition, pp.321-330, 2007.
DOI : 10.1007/978-3-540-76725-1_34

H. Hoppe, T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, Surface reconstruction from unorganized points, SIGGRAPH'92, pp.71-78, 1992.
DOI : 10.1145/133994.134011

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4735

H. Hotelling, Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, vol.24

N. J. Mitra and A. Nguyen, Estimating surface normals in noisy point cloud data, SCG '03, pp.322-328, 2003.

M. Alexa, J. Behr, D. Cohen-or, S. Fleishman, D. Levin et al., Point set surfaces, Proceedings Visualization, 2001. VIS '01., pp.21-28, 2001.
DOI : 10.1109/VISUAL.2001.964489

M. Berger, A. Tagliasacchi, L. M. Seversky, P. Alliez, J. A. Levine et al., State of the art in surface reconstruction from point clouds, Eurographics STAR, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01017700

G. Demengel and J. Pouget, ModèlesMod`Modèles de bezier, des b-splines et des nurbs : outils pour l'ingénieuring´ingénieur, bases pour la cao, MathématiquesMath´Mathématiques des courbes et des surfaces, 1998.

C. Roudet and F. Payan, Remaillage semi-r ´ egulier pour les maillages surfaciques triangulaires : unétatun´unétat de l'art, 2011.

Z. Song and C. Chung, Determining Both Surface Position and Orientation in Structured-Light-Based Sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.10, pp.1770-1780, 2010.
DOI : 10.1109/TPAMI.2009.192

T. Surazhsky, E. Magid, O. Soldea, G. Elber, and E. Rivlin, A comparison of Gaussian and mean curvatures estimation methods on triangular meshes, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), pp.1021-1026, 2003.
DOI : 10.1109/ROBOT.2003.1241726

T. D. Gatzke, C. M. Grimm, and B. B. , Estimating curvature on triangular meshes Three-dimensional surface curvature estimation using quadric surface patches, International Journal of Shape Modeling, p.2, 2002.

C. Dong and G. Wang, Curvatures estimation on triangular mesh, Journal of Zhejiang University SCIENCE, vol.6, issue.Suppl. I, 2005.
DOI : 10.1631/jzus.2005.AS0128

G. Taubin, Estimating the tensor of curvature of a surface from a polyhedral approximation, Proceedings of IEEE International Conference on Computer Vision, pp.902-907, 1995.
DOI : 10.1109/ICCV.1995.466840

C. Lange and K. Polthier, Anisotropic smoothing of point sets, Computer Aided Geometric Design, vol.22, issue.7, pp.680-692, 2005.
DOI : 10.1016/j.cagd.2005.06.010

J. Berkmann and T. Caelli, Computation of surface geometry and segmentation using covariance techniques, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.11, pp.1114-1116, 1994.
DOI : 10.1109/34.334391

Y. Zhang, J. Paik, A. Koschan, M. Abidi, and D. Gorsich, Simple and efficient algorithm for part decomposition of 3-D triangulated models based on curvature analysis, Proceedings. International Conference on Image Processing, 2002.
DOI : 10.1109/ICIP.2002.1038958

A. Mangan and R. Whitaker, Partitioning 3D surface meshes using watershed segmentation, IEEE Transactions on Visualization and Computer Graphics, vol.5, issue.4, pp.308-321, 1999.
DOI : 10.1109/2945.817348

R. Liu and H. Zhang, Segmentation of 3d meshes through spectral clustering, Computer Graphics and Applications, pp.298-305, 2004.

L. Yu and X. Youlun, Automatic segmentation of unorganized noisy point clouds based on the gaussian map, Computer-Aided Design, vol.40, pp.576-594, 2008.

S. Delest, R. Bonébon´boné, and H. Cardot, Etat de l'art de la segmentation de maillage 3D par patchs surfaciques, pp.171-185, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00150542

M. Pauly, M. Gross, and L. P. Kobbelt, Efficient simplification of point-sampled surfaces, IEEE Visualization, 2002. VIS 2002., pp.163-170, 2002.
DOI : 10.1109/VISUAL.2002.1183771

C. Moenning and N. A. Dodgson, Intrinsic point cloud simplification, International Conference Graphicon, 2006.

H. Song and H. Feng, A progressive point cloud simplification algorithm with preserved sharp edge data, The International Journal of Advanced Manufacturing Technology, vol.40, issue.3, pp.583-592, 2009.
DOI : 10.1007/s00170-009-1980-4

J. Rossignac and P. Borrel, Multi-resolution 3D approximations for rendering complex scenes, Modeling in Computer Graphics, pp.455-465, 1993.
DOI : 10.1007/978-3-642-78114-8_29

K. L. Low and T. Tan, Model simplification using vertex-clustering, Proceedings of the 1997 symposium on Interactive 3D graphics , SI3D '97, p.75, 1997.
DOI : 10.1145/253284.253310

W. J. Schroeder, J. A. Zarge, and W. E. Lorensen, Decimation of triangle meshes, SIGGRAPH'92, pp.65-70, 1992.

M. Garland and P. S. Heckbert, Surface simplification using quadric error metrics, Proceedings of the 24th annual conference on Computer graphics and interactive techniques , SIGGRAPH '97, pp.209-216, 1997.
DOI : 10.1145/258734.258849

J. Cohen, A. Varshney, D. Manocha, G. Turk, H. Weber et al., Simplification envelopes, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , SIGGRAPH '96, pp.119-128, 1996.
DOI : 10.1145/237170.237220

H. Hoppe, T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, Mesh optimization, Proceedings of the 20th annual conference on Computer graphics and interactive techniques , SIGGRAPH '93, pp.19-26, 1993.
DOI : 10.1145/166117.166119

S. Valette and R. Prost, Wavelet-based multiresolution analysis of irregular surface meshes, IEEE Transactions on Visualization and Computer Graphics, vol.10, issue.2, pp.113-122, 2004.
DOI : 10.1109/TVCG.2004.1260763

URL : https://hal.archives-ouvertes.fr/hal-00537010

J. L. Peyrot, F. Payan, and M. Antonini, Simplification de maillages cao avec ´ echantillonnage anti-aliasing, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00847162

P. Cignoni, C. Montani, and R. Scopigno, A comparison of mesh simplification algorithms, Computers & Graphics, vol.22, issue.1, pp.37-54, 1997.
DOI : 10.1016/S0097-8493(97)00082-4

M. A. Fischler and R. C. Bolles, Random sample consensus : A paradigm for model fitting with applications to image analysis and automated cartography, pp.381-395, 1981.

C. Beder and W. Forstner, Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points, Computer Vision, pp.135-146, 2006.
DOI : 10.1007/11744023_11

R. Schnabel, R. Wahl, and R. Klein, Efficient RANSAC for Point-Cloud Shape Detection, Computer Graphics Forum, vol.57, issue.2, pp.214-226, 2007.
DOI : 10.1016/S0010-4485(96)00054-1

F. Bretar and M. Roux, Hybrid image segmentation using lidar 3d planar primitives, ISPRS Workshop Laser scanning, pp.72-78, 2005.

P. Hough, Method and Means for Recognizing Complex Patterns, 1962.

T. Rabbani, Automatic reconstruction of industrial installations using point clouds and images, Civil Engineering and Geosciences, 2006.

P. Benkõbenk?benkõ, R. R. Martin, and T. Varady, Algorithms for reverse engineering boundary representation models, Computer-Aided Design, vol.33, issue.11, pp.839-851, 2001.
DOI : 10.1016/S0010-4485(01)00100-2

V. B. Sunil and S. S. Pande, Automatic recognition of features from freeform surface CAD models, Computer-Aided Design, vol.40, issue.4, pp.502-517, 2008.
DOI : 10.1016/j.cad.2008.01.006

K. Gauss, General investigations curved surfaces sufaces, 1965.

G. Lukacs, A. D. Marshall, R. R. Martin, R. Bey, R. Chaine et al., Geometric least-squares fitting of spheres, cylinders, cones and tori Consistent 3d model reconstruction from point cloud data using a priori cad models Laser Scanning, Deliverable Report RECCAD, 1997.

T. Chaperon and F. Goulette, Extracting cylinders in full 3d data using a random sampling method and the gaussian image, Vision Modeling and Visualization Conference, 2001.
URL : https://hal.archives-ouvertes.fr/hal-01259641

T. Chaperon, Segmentation de nuage de points 3D pour la modélisationmod´modélisation automatique d'environnements industriels numérisésnum´numérisnuméris´numérisés, 2002.

G. Slabaugh, R. Schafer, and M. Livingston, Optimal ray intersection for computing 3d points from n-view correspondences, Deliverable Report, 2001.

R. Ohlander, Analysis of Natural Scenes, 1975.

P. C. Chen and T. Pavlidis, Segmentation by texture using a co-occurrence matrix and a split-and-merge algorithm, Computer Graphics and Image Processing, vol.10, issue.2, pp.172-182, 1979.
DOI : 10.1016/0146-664X(79)90049-2

K. Held, E. Kops, B. Krause, W. Wells, R. Kikinis et al., Markov random field segmentation of brain MR images, IEEE Transactions on Medical Imaging, vol.16, issue.6, pp.878-886, 1997.
DOI : 10.1109/42.650883

D. Mumford and J. Shah, Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1989.
DOI : 10.1002/cpa.3160420503

A. Forbes, Least squares best fit geometric elements, 1990.
DOI : 10.1007/978-1-4899-3442-0_28

P. Bezier, Emploi des MachinesàMachines`Machinesà Commande NumériqueNum´Numérique Masson et Cie Courbes et surfaces, Hermes, 1970.

R. H. Bartels, J. C. Beatty, and B. A. Barsky, An Introduction to Splines for Use in Computer Graphics & Geometric Modeling, 1987.

V. Paquit, Imagerie multispectrale et modélisationmod´modélisation 3D pour l'estimation quantitative des vaisseaux sanguins sous cutanéscutan´cutanés, 2008.

W. Boehm and A. Muller, On de Casteljau's algorithm, Computer Aided Geometric Design, vol.16, issue.7, pp.587-605, 1999.
DOI : 10.1016/S0167-8396(99)00023-0

R. B-´-enì-ere, G. Subsol, W. Puech, G. Gesquì, and F. Lebreton, Decomposition of a 3d triangular mesh into quadrangulated patches, pp.96-103, 2010.

S. Valette, C. J. , and R. Prost, Acvd : Surface mesh coarsening and resampling

T. Chaperon, Segmentation de nuage de points 3D pour la modélisationmod´modélisation automatique d'environnements industriels numérisésnum´numérisnuméris´numérisés, 2002.