T. Igarashi, K. Nishino, and S. K. , The Appearance of Human Skin: A Survey, Foundations and Trends?? in Computer Graphics and Vision, vol.3, issue.1, pp.1-95, 2007.
DOI : 10.1561/0600000013

G. Zonios, J. Bykowski, and N. Kollias, Skin Melanin, Hemoglobin, and Light Scattering Properties can be Quantitatively Assessed In Vivo Using Diffuse Reflectance Spectroscopy, Journal of Investigative Dermatology, vol.117, issue.6, pp.1452-1457, 2001.
DOI : 10.1046/j.0022-202x.2001.01577.x
URL : https://doi.org/10.1046/j.0022-202x.2001.01577.x

D. J. Cuccia, F. Bevilacqua, A. J. Durkin, F. R. Ayers, and B. J. Tromberg, Quantitation and mapping of tissue optical properties using modulated imaging, Journal of Biomedical Optics, vol.14, issue.2, pp.24012-024012, 2009.
DOI : 10.1117/1.3088140

M. Doi, A. Kimachi, S. Nishi, and S. Tominaga, Estimation of Local Skin Properties from Spectral Images and its Application to Appearance Reproduction, Journal of Imaging Science and Technology, vol.60, issue.5, 2016.
DOI : 10.2352/J.ImagingSci.Technol.2016.60.5.050404

P. Seroul, M. Hébert, M. Cherel, R. Vernet, R. Clerc et al., Model-based skin pigment cartography by high-resolution hyperspectral imaging, Journal of Imaging Science and Technology, vol.60, issue.6, pp.60404-60405, 2016.
DOI : 10.2352/j.imagingsci.technol.2016.60.6.060404
URL : https://hal.archives-ouvertes.fr/hal-01458764

I. Nishidate, Y. Aizu, and H. Mishina, Estimation of melanin and hemoglobin in skin tissue using multiple regression analysis aided by Monte Carlo simulation, Journal of Biomedical Optics, vol.9, issue.4, pp.700-710, 2004.
DOI : 10.1117/1.1756918

N. Tsumura, H. Y. Haneishi, and . Miyake, Independentcomponent analysis of skin color image, JOSA A, vol.169, pp.2169-2176, 1999.

G. Lu and B. Fei, Medical hyperspectral imaging: a review, Journal of Biomedical Optics, vol.19, issue.1, pp.10901-010901, 2014.
DOI : 10.1117/1.JBO.19.1.010901
URL : https://www.spiedigitallibrary.org/journals/Journal-of-Biomedical-Optics/volume-19/issue-1/010901/Medical-hyperspectral-imaging-a-review/10.1117/1.JBO.19.1.010901.pdf

A. Nkengne, J. Robic, P. Seroul, S. Gueheunneux, M. Jomier et al., : A new polarized hyperspectral imaging system for repeatable and reproducible in vivo skin quantification of melanin, total hemoglobin, and oxygen saturation, Skin Research and Technology, vol.19, issue.1, 2017.
DOI : 10.1111/j.1473-2165.2007.00324.x

V. C. Paquit, K. W. Tobin, J. R. Price, and F. Mériaudeau, 3D and multispectral imaging for subcutaneous veins detection, Optics Express, vol.17, issue.14, pp.11360-11365, 2009.
DOI : 10.1364/OE.17.011360

K. Hirai, R. Nakahata, and T. Horiuchi, Measuring Spectral Reflectance and 3D Shape Using Multi-primary Image Projector, International Conference on Image and Signal Processing, pp.137-147, 2016.
DOI : 10.1007/978-3-319-33618-3_15

C. Zhang, M. Rosenberger, A. Breitbarth, and G. Notni, A novel 3D multispectral vision system based on filter wheel cameras, 2016 IEEE International Conference on Imaging Systems and Techniques (IST), pp.267-272, 2016.
DOI : 10.1109/IST.2016.7738235

M. H. Kim, 3D Graphics Techniques for Capturing and Inspecting Hyperspectral Appearance, 2013 International Symposium on Ubiquitous Virtual Reality, pp.15-18, 2013.
DOI : 10.1109/ISUVR.2013.15

F. Remondino and S. El-hakim, Image-based 3D Modelling: A Review, The Photogrammetric Record, vol.13, issue.4, pp.269-291, 2006.
DOI : 10.1117/12.386541

S. S. Gorthi and P. Rastogi, Fringe projection techniques: Whither we are?, Optics and Lasers in Engineering, vol.48, issue.2, pp.133-140, 2009.
DOI : 10.1016/j.optlaseng.2009.09.001
URL : https://infoscience.epfl.ch/record/140745/files/OLEN.pdf

D. Lanman and G. Taubin, Build your own 3D scanner, ACM SIGGRAPH 2009 Courses on, SIGGRAPH '09, p.8, 2009.
DOI : 10.1145/1667239.1667247

J. Geng, Structured-light 3D surface imaging: a tutorial, Advances in Optics and Photonics, pp.128-160, 2011.
DOI : 10.1364/AOP.3.000128.m001

Y. Wang, J. I. Laughner, I. R. Efimov, and S. Zhang, 3D absolute shape measurement of live rabbit hearts with a superfast two-frequency phase-shifting technique, Optics Express, vol.21, issue.5, pp.5822-5832, 2013.
DOI : 10.1364/OE.21.005822.m003

Z. Li and Y. Li, Gamma-distorted fringe image modeling and accurate gamma correction for fast phase measuring profilometry, Optics Letters, vol.36, issue.2, pp.154-156, 2011.
DOI : 10.1364/OL.36.000154

C. Zuo, L. Huang, M. Zhang, Q. Chen, and A. Asundi, Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review, Optics and Lasers in Engineering, vol.85, pp.84-103, 2016.
DOI : 10.1016/j.optlaseng.2016.04.022

D. C. Ghiglia and L. A. Romero, Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods, Journal of the Optical Society of America A, vol.11, issue.1, pp.107-117, 1994.
DOI : 10.1364/JOSAA.11.000107

P. Jia, J. Kofman, and C. English, Comparison of linear and nonlinear calibration methods for phase-measuring profilometry, Optical Engineering, vol.46, issue.4, pp.43601-043601, 2007.

S. Zhang, P. S. Huang-moreno, and G. Taubin, Novel method for structured light system calibrationSimple, accurate, and robust projectorcamera calibration, 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on, pp.83601-083601, 2006.

M. Goel, E. Whitmire, A. Mariakakis, T. S. Saponas, N. Joshi et al., HyperCam, Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '15, pp.145-156, 2015.
DOI : 10.1109/CISP.2012.6469964

N. Gat, Imaging spectroscopy using tunable filters: a review, Proc. Spie, pp.50-64, 2000.
DOI : 10.1117/12.381686
URL : http://www.techexpo.com/WWW/opto-knowledge/E-tunable-filters.pdf

S. L. Jacques, Optical properties of biological tissues: a review, Physics in Medicine and Biology, vol.58, issue.11, p.37, 2013.
DOI : 10.1088/0031-9155/58/11/R37

P. Kubelka, New Contributions to the Optics of Intensely Light-Scattering Materials Part II: Nonhomogeneous Layers*, Journal of the Optical Society of America, vol.44, issue.4, pp.330-335, 1954.
DOI : 10.1364/JOSA.44.000330

R. Yuhas, A. Goetz, and J. Boardman, Discrimination among semiarid landscape endmembers using the spectral angle mapper (sam) algorithm, Summaries of the Third Annual JPL Airborne Geoscience Workshop, pp.147-149, 1992.

. Kitware, The Visual Toolkit Available: https://www.vtk.org

D. Forsyth and A. Zisserman, Mutual illumination," in Computer Vision and Pattern Recognition, Proceedings CVPR'89, pp.466-473, 1989.

L. Gevaux-received-her and B. S. , in optical sciences from the University of Saint-Etienne (France, 2014) and an engineering degree from the Institut d'Optique Graduate School (France, 2014) She is currently pursuing a Ph.D. at the University Jean Monnet of Saint-Etienne (France), advised by Professor Mathieu Hébert, association with Newtone Technologies (France, Lyon) and the Department of Dermatology, Hôpital Nord (Saint- Etienne, France), her research focuses on optical methods for skin analysis