Assessment of Digital Image Correlation Measurement Errors: Methodology and Results

By M. Bornert, F. Bremand, P. Doumalin, J. Dupré, M. Fazzini, Michel Grédia, François Hild, S. Mistou, J. Molimard, Jean-José Orteu and 4 more. 2009

684 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/fbe7b71e2f4d532ffefc1d048e0818184d0f8f99

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In Computer Vision and Pattern Recognition

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Citations in the corpus

The Grid Method for In‐plane Displacement and Strain Measurement: A Review and Analysis (2016, methodology): “Link between relative bias and spatial resolution in case of synthetic sinusoidal distributions As proposed in other papers dealing with the metrological performance of full-field measuring techniques [165, 167, 169], we propose here to consider independent reference displacement or strain distribut”
Multiscale Full‐Field Strain Measurements for Micromechanical Investigations of the Hydromechanical Behaviour of Clayey Rocks (2010, background): “[15] for a review of various DIC formulations and their relative performances.”
Analysis of image series through global digital image correlation (2012, background): “Exact gray level conservation is in general not strictly obeyed, and this principle is often relaxed in local DIC formulations, say, by resorting to zeromean normalized cross-correlations that amount to allowing for an affine transformation of gray level without impact on the objective functional to”
Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, methodology): “By using three synthetic speckle images undergoing sinusoidal displacements with various amplitudes and spatial frequencies, the influences of different calculation parameters (subset size, step size) and various algorithm details (subset shape function, gray-level interpolation, optimization algori”
Voxel-Scale Digital Volume Correlation (2011, background): “Large interrogation windows (for local analyses) or coarse meshes (for global approaches) allow for a low uncertainty in the estimated local mean displacement at the expense of a poor spatial resolution [32– 34].”
Initiation and propagation of complex 3D networks of cracks in heterogeneous quasi-brittle materials: Direct comparison between in situ testing-microCT experiments and phase field simulations (2016, background): “A second source of errors, exhaustively discussed by Bornert et al. (2009), is due to the discrepancy between the physical transformation of the sample and the shape function used in the correlation algorithm to map reference and deformed images.”