Résumé
In order to characterise the ultimate error regime of Digital Image Correlation (DIC) algorithms, sets of virtual transformed images are often generated from a reference image by in-plane sub-pixel translations. This leads to the determination of the well-known S-shaped systematic error curves and their corresponding random error curves. It is reported in this collaborative work that the a priori choices used to numerically shift images (grey level interpolation, direct or reverse transformation between images) modify DIC results and may lead to biased conclusions in terms of DIC errors.