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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Bibliographic Details

Published in:	Optics and lasers in engineering Vol. 154; p. 107012
Main Authors:	Baldi, A., Santucci, P.M., Bertolino, F.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2022
Subjects:	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
Online Access:	Get full text
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