Classic and inverse compositional Gauss-Newton in global DIC
From MaRDI portal
Publication:6553878
DOI10.1002/nme.6057zbMATH Open1548.65126WikidataQ128273477 ScholiaQ128273477MaRDI QIDQ6553878
Robin Bouclier, Jean-Charles Passieux
Publication date: 11 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Lucas-Kanade 20 years on: a unifying framework
- Big data in experimental mechanics and model order reduction: today's challenges and tomorrow's opportunities
- Determining optical flow
- High resolution digital image correlation using proper generalized decomposition: PGD-DIC
- Global 2D digital image correlation for motion estimation in a finite element framework: a variational formulation and a regularized, pyramidal, multi-grid implementation
- A dual domain decomposition method for finite element digital image correlation
- A fully integrated noise robust strategy for the identification of constitutive laws from digital images
- Parallel Implementation of Total-FETI DDM with Application to Medical Image Registration
- Extended digital image correlation with crack shape optimization
- A domain coupling method for finite element digital image correlation with mechanical regularization: application to multiscale measurements and parallel computing
- On image gradients in digital image correlation
This page was built for publication: Classic and inverse compositional Gauss-Newton in global DIC