Noise robustness and parallel computation of the inverse compositional Gauss–Newton algorithm in digital image correlation

The inverse compositional Gauss–Newton (IC-GN) algorithm is one of the most popular sub-pixel registration algorithms in digital image correlation (DIC). The IC-GN algorithm, compared with the traditional forward additive Newton–Raphson (FA-NR) algorithm, can achieve the same accuracy in less time....

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Veröffentlicht in:	Optics and lasers in engineering Jg. 71; S. 9 - 19
Hauptverfasser:	Shao, Xinxing, Dai, Xiangjun, He, Xiaoyuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2015
Schlagworte:	Digital image correlation Inverse compositional Gauss–Newton algorithm Noise robustness Parallel computation Parallel computation Noise robustness Inverse compositional Gauss–Newton algorithm Digital image correlation
ISSN:	0143-8166, 1873-0302
Online-Zugang:	Volltext
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