Equal Noise Resistance of Two Mainstream Iterative Sub-pixel Registration Algorithms in Digital Image Correlation

The inverse compositional Gauss-Newton (IC-GN) algorithm and the forward additive Newton-Raphson (FA-NR) algorithm are two mainstream iterative sub-pixel registration algorithms in digital image correlation. This study compares the accuracy and convergence ability of the two algorithms by theoretica...

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Vydáno v:	Experimental mechanics Ročník 57; číslo 6; s. 979 - 996
Hlavní autoři:	Chen, W., Jiang, Z., Tang, L., Liu, Y., Liu, Z.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2017 Springer Nature B.V
Témata:	Algorithms Biomedical Engineering and Bioengineering Characterization and Evaluation of Materials Contamination Control Convergence Correlation analysis Digital imaging Dynamical Systems Engineering Equivalence Interpolation Iterative methods Lasers Mathematical analysis Mathematical models Newton-Raphson method Noise Noise prediction Noise reduction Optical Devices Optics Photonics Random errors Solid Mechanics Systematic errors Vibration Forward additive Newton-Raphson algorithm Error Gaussian noise Digital image correlation Inverse compositional Gauss-Newton algorithm Convergence
ISSN:	0014-4851, 1741-2765
On-line přístup:	Získat plný text
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