Digital Image Correlation with Enhanced Accuracy and Efficiency: A Comparison of Two Subpixel Registration Algorithms

The two major subpixel registration algorithms, currently being used in subset-based digital image correlation, are the classic Newton-Raphson (FA-NR) algorithm with forward additive mapping strategy and the recently introduced inverse compositional Gauss-Newton (IC-GN) algorithm. Although the equiv...

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Veröffentlicht in:	Experimental mechanics Jg. 56; H. 8; S. 1395 - 1409
Hauptverfasser:	Pan, B., Wang, B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2016 Springer Nature B.V
Schlagworte:	Algorithms Bias Biomedical Engineering and Bioengineering Characterization and Evaluation of Materials Computing time Control Convolution Digital imaging Displacement Dynamical Systems Engineering Error analysis Image enhancement Interpolation Lasers Newton-Raphson method Noise Noise levels Optical Devices Optics Photonics Pixels Proving Random errors Registration Set theory Shape functions Solid Mechanics Vibration Error analysis Digital image correlation Inverse compositional Gauss-Newton algorithm Subpixel registration
ISSN:	0014-4851, 1741-2765
Online-Zugang:	Volltext
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