Analysis of strain localization during tensile tests by digital image correlation

By B. Wattrisse, A. Chrysochoos, J. Muracciole, M. Némoz-Gaillard. 2001

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Assessment of Digital Image Correlation Measurement Errors: Methodology and Results (2009, methodology): “Six DIC softwares were used to obtain the results presented in the following, including two commercial codes, Aramis 2D [46] and Vic-2D [47], and four academic ones : 7D (Université de Savoie), [16], Correla (Université de Poitiers) [48], CorrelManuV (École Polytechnique) [32, 49] and KelKins (Unive”
Systematic errors in digital image correlation due to undermatched subset shape functions (2002, background): “and for a second-order filter the coefficients are found as h2(x) = A - Bx 2 , ( 12 )”
Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, background): “experimental mechanics, fracture mechanics, fatigue, mechanical testing), DIC has found applications in various natural and artificial materials (including metals [79], foam [17], polymers [48], biological tissue [19], sand [123], wood [124, 125], concrete [126], composite material [18, 127], etc), ”
3-D computer vision in experimental mechanics (2007, unknown): “[23] Wattrisse B, Chrysochoos A, Muracciole J-M, Némoz-Gaillard M.”