Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements

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Recent Progress in Digital Image Correlation (2011, background): “Nevertheless, the fundamental principle, mathematical derivation and computational process of ILS algorithm are more straightforward and simple, because only first-order spatial derivatives of the deformed image are needed and a simple least squares scheme is used [22].”
Ncorr: Open-Source 2D Digital Image Correlation Matlab Software (2015, unknown): “[35] to calculate the displacement gradients and the subsequent Green-Lagrangian strains.”
Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations (2013, methodology): “The latter is in essence a Gaussian-Newton algorithm, and is actually equivalent to the improved NR algorithm widely used in DIC in respect of basic principle and algorithm implementation [23].”
Equivalence of digital image correlation criteria for pattern matching. (2010, background): “In all the above situations, a robust correlation criterion must be used to accommodate the variations in the intensity of the deformed image, otherwise significant displacement measurement errors may occur due to the mismatch of intensity change model [11,16,17].”