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...

Full description

Saved in:

Bibliographic Details
Published in:	Experimental mechanics Vol. 57; no. 6; pp. 979 - 996
Main Authors:	Chen, W., Jiang, Z., Tang, L., Liu, Y., Liu, Z.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.07.2017 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!