Stereo Digital Image Correlation: Formulations and Perspectives

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

1 ICA - Institut Clément Ader
2 DGA - Techniques aéronautiques
3 IMT - Institut de Mathématiques de Toulouse UMR5219

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 this 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 adhoc schemes.

Mots clés: Data Assimilation; Multi-view Functional; Global Stereo DIC; Photometric DIC

Domaines: Mécanique des structures [physics.class-ph]; Traitement du signal et de l'image [eess.SP]; Mécanique [physics.med-ph]

Raphaël Fouque, Robin Bouclier, Jean-Charles Passieux, Jean-Noël Périé. Stereo Digital Image Correlation: Formulations and Perspectives. 2021. ⟨hal-03260895v1⟩