M. Sutton, J. J. Orteu, and H. Schreier, Image correlation for shape, motion and deformation measurements: Basic Concepts, Theory and Applications, 2009.

A. D3039-00, Standard test method for tensile properties of polymer matrix composite materials, 2000.

P. Meurs, P. Schreurs, T. Peijs, and H. Meijer, Characterization of interphase conditions in composite materials, Composites Part A: Applied Science and Manufacturing, vol.27, issue.9, p.781, 1996.
DOI : 10.1016/1359-835X(96)00020-6

J. Molimard, R. Riche, A. Vautrin, and J. Lee, Identification of the four orthotropic plate stiffnesses using a single open-hole tensile test, Experimental Mechanics, vol.4, issue.1, p.404, 2005.
DOI : 10.1007/BF02427987
URL : https://hal.archives-ouvertes.fr/emse-00687052

L. Bruno, G. Felice, L. Pagnotta, A. Poggialini, and G. Stigliano, Elastic characterization of orthotropic plates of any shape via static testing, International Journal of Solids and Structures, vol.45, issue.3-4, p.908, 2008.
DOI : 10.1016/j.ijsolstr.2007.09.017

S. Avril, M. Bonnet, A. S. Bretelle, M. Grédiac, F. Hild et al., Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements, Experimental Mechanics, vol.48, issue.4, p.381, 2008.
DOI : 10.1007/s11340-008-9148-y
URL : https://hal.archives-ouvertes.fr/hal-00274639

P. Sztefek and R. Olsson, Tensile stiffness distribution in impacted composite laminates determined by an inverse method, Composites Part A: Applied Science and Manufacturing, vol.39, issue.8, p.1282, 2008.
DOI : 10.1016/j.compositesa.2007.10.005

J. Réthoré, T. Muhibullah, M. Elguedj, P. Coret, A. Chaudet et al., Robust identification of elasto-plastic constitutive law parameters from digital images using 3D kinematics, International Journal of Solids and Structures, vol.50, issue.1, p.73, 2013.
DOI : 10.1016/j.ijsolstr.2012.09.002

M. B. Azzouna, P. Feissel, and P. Villon, Identification of elastic properties from full-field measurements: a numerical study of the effect of filtering on the identification results, Measurement Science and Technology, vol.24, issue.5, p.55603, 2013.
DOI : 10.1088/0957-0233/24/5/055603

M. Bornert, F. Brémand, P. Doumalin, J. C. Dupré, M. Fazzini et al., Assessment of Digital Image Correlation Measurement Errors: Methodology and Results, Experimental Mechanics, vol.43, issue.4, p.353, 2009.
DOI : 10.1007/s11340-008-9204-7
URL : https://hal.archives-ouvertes.fr/hal-00881043

F. Hild and S. Roux, Comparison of Local and Global Approaches to Digital Image Correlation, Experimental Mechanics, vol.39, issue.8, p.1503, 2012.
DOI : 10.1007/s11340-012-9603-7
URL : https://hal.archives-ouvertes.fr/hal-00750756

M. Sutton, W. Wolters, W. Peters, W. Ranson, and S. Mcneill, Determination of displacements using an improved digital correlation method, Image and Vision Computing, vol.1, issue.3, p.133, 1983.
DOI : 10.1016/0262-8856(83)90064-1

H. Bruck, S. Mcneill, M. Sutton, and W. Peters, Digital image correlation using Newton-Raphson method of partial differential correction, Experimental Mechanics, vol.19, issue.12, p.261, 1989.
DOI : 10.1007/BF02321405

Y. Sun, J. Pang, C. K. Wong, and F. Su, Finite element formulation for a digital image correlation method, Applied Optics, vol.44, issue.34, p.7357, 2005.
DOI : 10.1364/AO.44.007357

G. Besnard, F. Hild, and S. Roux, ???Finite-Element??? Displacement Fields Analysis from Digital Images: Application to Portevin???Le Ch??telier Bands, Experimental Mechanics, vol.404, issue.3, p.789, 2006.
DOI : 10.1007/s11340-006-9824-8

J. Fehrenbach and M. Masmoudi, A fast algorithm for image registration, Comptes Rendus Mathematique, vol.346, issue.9-10, p.593, 2008.
DOI : 10.1016/j.crma.2008.03.019
URL : https://hal.archives-ouvertes.fr/hal-00995847

Y. Q. Wang, M. A. Sutton, H. A. Bruck, and H. W. Schreier, Quantitative Error Assessment in Pattern Matching: Effects of Intensity Pattern Noise, Interpolation, Strain and Image Contrast on Motion Measurements, Strain, vol.47, issue.2, p.160, 2009.
DOI : 10.1111/j.1475-1305.2008.00592.x

H. Leclerc, J. N. Périé, S. Roux, and F. Hild, Integrated Digital Image Correlation for the Identification of Mechanical Properties, Lectures Notes in Computer Sciences, vol.44, issue.13, p.161, 2009.
DOI : 10.1016/j.ijsolstr.2006.11.024

K. T. Kavanagh and R. W. Clough, Finite element applications in the characterization of elastic solids, International Journal of Solids and Structures, vol.7, issue.1, p.11, 1971.
DOI : 10.1016/0020-7683(71)90015-1

D. Lecompte, A. Smits, H. Sol, J. Vantomme, and D. V. Hemelrijck, Mixed numerical???experimental technique for orthotropic parameter identification using biaxial tensile tests on cruciform specimens, International Journal of Solids and Structures, vol.44, issue.5, p.1643, 2007.
DOI : 10.1016/j.ijsolstr.2006.06.050
URL : http://doi.org/10.1016/j.ijsolstr.2006.06.050

P. Sztefek and R. Olsson, Nonlinear compressive stiffness in impacted composite laminates determined by an inverse method, Composites Part A: Applied Science and Manufacturing, vol.40, issue.3, p.260, 2009.
DOI : 10.1016/j.compositesa.2008.12.002

S. Roux, F. Hild, and Y. Berthaud, Correlation image velocimetry: a spectral approach, Applied Optics, vol.41, issue.1, pp.108-115, 2002.
DOI : 10.1364/AO.41.000108
URL : https://hal.archives-ouvertes.fr/hal-00002900

F. Mortazavi, M. Levesque, and I. Villemure, Image-based Continuous Displacement Measurements Using an Improved Spectral Approach, Strain, vol.39, issue.6, p.233, 2013.
DOI : 10.1111/str.12031

P. Cheng, M. Sutton, H. Schreier, and S. R. Mcneill, Full-field speckle pattern image correlation with B-Spline deformation function, Experimental Mechanics, vol.39, issue.11, p.344, 2002.
DOI : 10.1007/BF02410992

J. Réthoré, T. Elguedj, P. Simon, and M. Coret, On the Use of NURBS Functions for Displacement Derivatives Measurement by Digital Image Correlation, Experimental Mechanics, vol.47, issue.3???4, p.1099, 2010.
DOI : 10.1007/s11340-009-9304-z

J. C. Passieux and J. N. Périé, High resolution digital image correlation using proper generalized decomposition: PGD-DIC, International Journal for Numerical Methods in Engineering, vol.49, issue.2, p.531, 2012.
DOI : 10.1002/nme.4349
URL : https://hal.archives-ouvertes.fr/hal-00708541

S. Roux and F. Hild, Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches, International Journal of Fracture, vol.40, issue.1, p.141, 2006.
DOI : 10.1007/s10704-006-6631-2
URL : https://hal.archives-ouvertes.fr/hal-00013818

F. Hild, S. Roux, N. Guerrero, M. E. Marante, and J. Flórez-lópez, Calibration of constitutive models of steel beams subject to local buckling by using digital image correlation, European Journal of Mechanics - A/Solids, vol.30, issue.1, p.1, 2011.
DOI : 10.1016/j.euromechsol.2010.09.007
URL : https://hal.archives-ouvertes.fr/hal-00696138

H. Leclerc, J. N. Périé, S. Roux, and F. Hild, Voxel-Scale Digital Volume Correlation, Experimental Mechanics, vol.22, issue.9, p.479, 2011.
DOI : 10.1007/s11340-010-9407-6
URL : https://hal.archives-ouvertes.fr/hal-00521193

H. Bay, A. Ess, T. Tuytelaars, and L. V. , Speeded-Up Robust Features (SURF), Computer Vision and Image Understanding, vol.110, issue.3, p.346, 2008.
DOI : 10.1016/j.cviu.2007.09.014
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.738

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions, Image and Vision Computing, vol.22, issue.10, p.761, 2004.
DOI : 10.1016/j.imavis.2004.02.006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.8241

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, p.91, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

P. Lava, S. Cooreman, S. Coppieters, M. De-strycker, and D. Debruyne, Assessment of measuring errors in DIC using deformation fields generated by plastic FEA, Optics and Lasers in Engineering, vol.47, issue.7-8, p.747, 2009.
DOI : 10.1016/j.optlaseng.2009.03.007

H. Schreier, J. Braasch, and M. Sutton, Systematic errors in digital image correlation caused by intensity interpolation, Optical Engineering, vol.39, issue.11, p.2915, 2000.
DOI : 10.1117/1.1314593

S. Lekhnitskii, S. W. Tsai, and T. Cheron, Anisotropic Plates, 1968.

F. Amiot, M. Bornert, P. Doumalin, J. C. Dupré, M. Fazzini et al., Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark, Strain, vol.45, issue.6, p.483, 2013.
DOI : 10.1111/str.12054
URL : https://hal.archives-ouvertes.fr/hal-01069741

C. Geuzaine and J. F. Remacle, Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities, International Journal for Numerical Methods in Engineering, vol.69, issue.4, p.1309, 2009.
DOI : 10.1002/nme.2579

P. Reu and T. Miller, The application of high-speed digital image correlation, The Journal of Strain Analysis for Engineering Design, vol.43, issue.8, p.673, 2008.
DOI : 10.1243/03093247JSA414

W. Wang, J. E. Mottershead, A. Ihle, T. Siebert, and H. R. Schubach, Finite element model updating from full-field vibration measurement using digital image correlation, Journal of Sound and Vibration, vol.330, issue.8, p.1599, 2011.
DOI : 10.1016/j.jsv.2010.10.036

G. Besnard, H. Leclerc, S. Roux, and F. Hild, Analysis of image series through global digital image correlation, The Journal of Strain Analysis for Engineering Design, vol.47, issue.4, p.214, 2012.
DOI : 10.1177/0309324712441435
URL : https://hal.archives-ouvertes.fr/hal-00694332

J. Gago, D. Kelly, O. Zienkiewicz, and I. Bab?-uska, A posteriori error analysis and adaptive processes in the finite element method: Part II???adaptive mesh refinement, International Journal for Numerical Methods in Engineering, vol.5, issue.18, p.1621, 1983.
DOI : 10.1002/nme.1620191104

M. Bizeul, C. Bouvet, J. J. Barrau, and R. Cuenca, Influence of woven ply degradation on fatigue crack growth in thin notched composites under tensile loading, International Journal of Fatigue, vol.32, issue.1, p.60, 2010.
DOI : 10.1016/j.ijfatigue.2009.01.010

H. Chalal, F. Meraghni, F. Pierron, and M. Grédiac, Direct identification of the damage behaviour of composite materials using the virtual fields method, Composites Part A: Applied Science and Manufacturing, vol.35, issue.7-8, p.841, 2004.
DOI : 10.1016/j.compositesa.2004.01.011

M. Grédiac, F. Pierron, S. Avril, and E. Toussaint, The Virtual Fields Method for Extracting Constitutive Parameters From Full-Field Measurements: a Review, Strain, vol.55, issue.4, p.233, 2006.
DOI : 10.1111/j.1475-1305.2006.tb01504.x

F. Pierron, G. Vert, R. Burguete, S. Avril, R. Rotinat et al., Identification of the Orthotropic Elastic Stiffnesses of Composites with the Virtual Fields Method: Sensitivity Study and Experimental Validation, Strain, vol.32, issue.3, p.250, 2007.
DOI : 10.1111/j.1475-1305.2007.00346.x
URL : https://hal.archives-ouvertes.fr/emse-00505814

S. Roux and F. Hild, Digital Image Mechanical Identification (DIMI), Experimental Mechanics, vol.292, issue.4, p.495, 2008.
DOI : 10.1007/s11340-007-9103-3
URL : https://hal.archives-ouvertes.fr/hal-00200974

L. Crouzeix, J. N. Périé, F. Collombet, and B. Douchin, An orthotropic variant of the equilibrium gap method applied to the analysis of a biaxial test on a composite material, Composites Part A: Applied Science and Manufacturing, vol.40, issue.11, p.1732, 2009.
DOI : 10.1016/j.compositesa.2009.08.016

M. B. Azzouna, J. N. Périé, J. M. Guimard, F. Hild, and S. Roux, On the Identification and Validation of an Anisotropic Damage Model Using Full-field Measurements, International Journal of Damage Mechanics, vol.48, issue.8, p.1130, 2011.
DOI : 10.1177/1056789510395555
URL : https://hal.archives-ouvertes.fr/hal-00947496

R. Gras, H. Leclerc, S. Roux, S. Otin, J. Schneider et al., Identification of the Out-of-Plane Shear Modulus of a 3D Woven Composite, Experimental Mechanics, vol.65, issue.5, p.719, 2013.
DOI : 10.1007/s11340-012-9683-4

M. Bizeul, C. Bouvet, J. Barrau, and R. Cuenca, Fatigue crack growth in thin notched woven glass composites under tensile loading. Part II: Modelling, Composites Science and Technology, vol.71, issue.3, p.297, 2011.
DOI : 10.1016/j.compscitech.2010.11.017

S. Hallett, B. Green, W. G. Jiang, K. Cheung, and M. Wisnom, The open hole tensile test: a challenge for virtual testing of composites, International Journal of Fracture, vol.8, issue.2, p.169, 2009.
DOI : 10.1007/s10704-009-9333-8

M. Geers, R. De-borst, and T. Peijs, Mixed numerical-experimental identification of non-local characteristics of random-fibre-reinforced composites, Composites Science and Technology, vol.59, issue.10, p.1569, 1999.
DOI : 10.1016/S0266-3538(99)00017-2

B. Shen and G. Paulino, Direct Extraction of Cohesive Fracture Properties from Digital Image Correlation: A Hybrid Inverse Technique, Experimental Mechanics, vol.7, issue.349, p.143, 2011.
DOI : 10.1007/s11340-010-9342-6