Experimental assessment of noise robustness of the forward-additive, symmetric-additive and the inverse-compositional Gauss-Newton algorithm in digital image correlation

•Fully experimental assessment of noise-induced bias for Forward-Additive, Symmetric-Additive, and Inverse-Compositional formulation.•The influence of spatial intensity gradients is experimentally tested.•The effect of image noise on noise-induced bias is experimentally investigated.•The Inverse-Com...

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Vydáno v:	Optics and lasers in engineering Ročník 154; s. 107012
Hlavní autoři:	Baldi, A., Santucci, P.M., Bertolino, F.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.07.2022
Témata:	Digital Image Correlation Forward-Additive Gauss-Newton algorithm Inverse-Compositional Gauss-Newton algorithm Noise bias Noise bias Digital Image Correlation Forward-Additive Gauss-Newton algorithm Inverse-Compositional Gauss-Newton algorithm
ISSN:	0143-8166
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