Experimental assessment of noise robustness of the forward-additive, symmetric-additive and the inverse-compositional Gauss-Newton algorithm in digital image correlation-Reference-Cited by-同舟云学术

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

Published:2022-07 Issue: Volume:154 Page:107012
ISSN:0143-8166
Container-title:Optics and Lasers in Engineering
language:en
Short-container-title:Optics and Lasers in Engineering

Author:

Baldi A.,Santucci P.M.^ORCID,Bertolino F.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference34 articles.

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4. Systematic errors in digital image correlation due to undermatched subset shape functions;Schreier;Exp Mech,2002

5. The errors in digital image correlation due to overmatched shape functions;Yu;Meas Sci Technol,2015

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