Comptes Rendus
Short paper
Stereo digital image correlation: formulations and perspectives
Comptes Rendus. Mécanique, Volume 349 (2021) no. 3, pp. 453-463.

A literature review regarding functionals used in stereo digital image correlation (SDIC) is presented. A suitable functional for performing data assimilation, in the sense that all available information at all times is wisely taken into account, is also introduced. It is based on the comparison between a substitute image and actual ones, together with an associated weight. An interpretation of this weight is proposed. Eventually, a link between the functional and global SDIC ones is established. It clearly shows that the former encompasses the latter and provides the consistent weighting scheme to use in usual SDIC instead of ad hoc schemes.

Published online:
DOI: 10.5802/crmeca.93
Keywords: Data assimilation, Multi-view functional, Global stereo DIC, Photometric DIC, Large deformations

Raphaël Fouque 1, 2; Robin Bouclier 2, 3; Jean-Charles Passieux 2; Jean-Noël Périé 2

1 DGA Aeronautical Systems, 47 rue Saint Jean - BP 93123- 31131 Balma Cedex, France.
2 Institut Clément Ader, CNRS UMR 5312, Université de Toulouse, INSA/ISAE/Mines Albi/UPS, 3 rue Caroline Aigle, 31400 Toulouse, France.
3 Institut de Mathématiques de Toulouse, CNRS UMR 5219, Université de Toulouse, INSA/UT1/UT2/UPS, 135 avenue de Rangueil, 31077 Toulouse Cedex 04, France.
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
     author = {Rapha\"el Fouque and Robin Bouclier and Jean-Charles Passieux and Jean-No\"el P\'eri\'e},
     title = {Stereo digital image correlation: formulations and perspectives},
     journal = {Comptes Rendus. M\'ecanique},
     pages = {453--463},
     publisher = {Acad\'emie des sciences, Paris},
     volume = {349},
     number = {3},
     year = {2021},
     doi = {10.5802/crmeca.93},
     zbl = {07337789},
     language = {en},
AU  - Raphaël Fouque
AU  - Robin Bouclier
AU  - Jean-Charles Passieux
AU  - Jean-Noël Périé
TI  - Stereo digital image correlation: formulations and perspectives
JO  - Comptes Rendus. Mécanique
PY  - 2021
SP  - 453
EP  - 463
VL  - 349
IS  - 3
PB  - Académie des sciences, Paris
DO  - 10.5802/crmeca.93
LA  - en
ID  - CRMECA_2021__349_3_453_0
ER  - 
%0 Journal Article
%A Raphaël Fouque
%A Robin Bouclier
%A Jean-Charles Passieux
%A Jean-Noël Périé
%T Stereo digital image correlation: formulations and perspectives
%J Comptes Rendus. Mécanique
%D 2021
%P 453-463
%V 349
%N 3
%I Académie des sciences, Paris
%R 10.5802/crmeca.93
%G en
%F CRMECA_2021__349_3_453_0
Raphaël Fouque; Robin Bouclier; Jean-Charles Passieux; Jean-Noël Périé. Stereo digital image correlation: formulations and perspectives. Comptes Rendus. Mécanique, Volume 349 (2021) no. 3, pp. 453-463. doi : 10.5802/crmeca.93.

[1] M. A. Sutton; J.-J. Orteu; H. W. Schreier Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, Springer, Boston, MA, 2009, 321 pages

[2] J.-E. Dufour; S. Leclercq; J. Schneider; S. Roux; F. Hild 3D surface measurements with isogeometric stereocorrelation—Application to complex shapes, Opt. Lasers Eng., Volume 87 (2016), pp. 146-155 | DOI

[3] J.-E. Pierré; J.-C. Passieux; J.-N. Périé Finite element stereo digital image correlation: framework and mechanical regularization, Exp. Mech., Volume 57 (2017) no. 3, pp. 443-456 | DOI

[4] F. Hild; S. Roux Displacement uncertainties with multiview correlation schemes, J. Strain Anal. Eng. Des., Volume 55 (2020) no. 7-8, pp. 199-211 | DOI

[5] M. Vitse; M. Poncelet; A. E. Iskef; J.-E. Dufour; R. Gras; A. Bouterf; B. Raka; C. Giry; F. Gatuingt; F. Hild; F. Ragueneau; S. Roux Toward virtual design and optimization of a structural test monitored by a multi-view system, J. Strain Anal. Eng. Des., Volume 56 (2021) no. 2, pp. 112-128 | DOI

[6] G. Colantonio; M. Chapelier; R. Bouclier; J.-C. Passieux; E. Marenić Noninvasive multilevel geometric regularization of mesh-based three-dimensional shape measurement, Int. J. Numer. Methods Eng., Volume 121 (2020) no. 9, pp. 1877-1897 | DOI | MR

[7] J.-E. Dufour; F. Hild; S. Roux Shape, displacement and mechanical properties from isogeometric multiview stereocorrelation, J. Strain Anal. Eng. Des., Volume 50 (2015) no. 7, pp. 470-487 | DOI

[8] M. Chapelier; R. Bouclier; J.-C. Passieux Free-form deformation digital image correlation (FFD-DIC): a non-invasive spline regularisation for arbitrary finite element measurements, Comput. Methods Appl. Mech. Eng., Volume 384 (2021), 113992 | DOI

[9] R. Fouque; R. Bouclier; J.-C. Passieux; J.-N. Périé Photometric DIC: a unified framework for global stereo digital image correlation based on the construction of textured digital twins (2021) (preprint) | HAL

[10] B. Goldlücke; M. Aubry; K. Kolev; D. Cremers A super-resolution framework for high-accuracy multiview reconstruction, Int. J. Comput. Vis., Volume 106 (2014) no. 2, pp. 172-191 | DOI | MR | Zbl

[11] V. Tsiminaki; W. Dong; M. R. Oswald; M. Pollefeys Joint multi-view texture super-resolution and intrinsic decomposition, British Machine Vision Conference, BMVC (2019), pp. 1-14

[12] M. Berny; T. Archer; A. Mavel; P. Beauchêne; S. Roux; F. Hild On the analysis of heat haze effects with spacetime DIC, Opt. Lasers Eng., Volume 111 (2018), pp. 135-153 | DOI

[13] J.-C. Passieux; F. Bugarin; C. David; J.-N. Périé; L. Robert Multiscale displacement field measurement using digital image correlation: application to the identification of elastic properties, Exp. Mech., Volume 55 (2015) no. 1, pp. 121-137 | DOI

[14] C. Jailin; A. Bouterf; M. Poncelet; S. Roux In situ μ CT-scan mechanical tests: fast 4D mechanical identification, Exp. Mech., Volume 57 (2017) no. 8, pp. 1327-1340 | DOI

Cited by Sources:

Comments - Policy