Classic and Inverse Compositional Gauss-Newton in Global DIC

Abstract : Today, effective implementations of Digital Image Correlation (DIC) are based on iterative algorithms with constant linear operators. A relevant idea of the classic Finite Element (or more generally global) DIC (FE-DIC) solver consists in replacing the gradient of the deformed state image with that of the reference image, so as to obtain a constant operator. Different arguments (small strains, small deformations, equality of the two gradients close to the solution...) have been given in the literature to justify this approximation, but none of them are fully accurate. Indeed, the convergence of the optimization algorithm has to be investigated from its ability to produce descent directions. Through such a study, this paper attempts to explain why this approximation works and what is its domain of validity. Then an Inverse Compositional Gauss-Newton (ICGN) implementation of FE-DIC is proposed as a cost effective and mathematically sound alternative to this approximation.
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Contributor : Jean-Charles Passieux <>
Submitted on : Thursday, June 13, 2019 - 10:41:58 AM
Last modification on : Friday, June 14, 2019 - 11:38:21 AM

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Jean-Charles Passieux, Robin Bouclier. Classic and Inverse Compositional Gauss-Newton in Global DIC. International Journal for Numerical Methods in Engineering, Wiley, In press, ⟨10.1002/nme.6057⟩. ⟨hal-02059472⟩

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