The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads
to path-dependence. Using the known deformation at a processed point to estimate the …

The state-of-the-art digital image correlation (DIC) method using iterative spatial-domain
cross correlation, eg, the inverse-compositional Gauss–Newton algorithm, for full-field …

Current iterative digital image correlation (DIC) algorithms can efficiently converge at the
deformation vector with high accuracy when they are fed with reliable initial guess. Thus, the …

In digital image correlation, the iterative spatial domain cross-correlation algorithm is
considered as a gold standard for matching the corresponding points in two images, but …

Fast and high-accuracy deformation analysis using digital image correlation (DIC) has been
increasingly important and highly demanded in recent years. In literature, the DIC method …

Abstract The inverse compositional Gauss–Newton (IC-GN) algorithm is one of the most
popular sub-pixel registration algorithms in digital image correlation (DIC). The IC-GN …

Existing digital image correlation (DIC) using the robust reliability-guided displacement
tracking (RGDT) strategy for full-field displacement measurement is a path-dependent …

In recent years, with the requirement of high-resolution and real-time measurement, the
computation speed of digital image correlation (DIC) has become increasingly important. At …

Digital image correlation (DIC) has received a widespread research and application in
experimental mechanics. In DIC, the performance of subpixel registration algorithm (eg …

Accurate initial guess plays a key role to realize full-automatic digital image correlation (DIC)
analysis, especially when large rotational deformation presents in deformed images. In this …