Path-independent digital image correlation with high accuracy, speed and robustness

The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads to path-dependence. Using the known deformation at a processed point to estimate the initial guess at its neighboring points could save considerable computation time, and a cogitatively-selected processing...

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Veröffentlicht in:	Optics and lasers in engineering Jg. 65; S. 93 - 102
Hauptverfasser:	Jiang, Zhenyu, Kemao, Qian, Miao, Hong, Yang, Jinglei, Tang, Liqun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2015
Schlagworte:	Accuracy Algorithms Computation Deformation Devices Digital image correlation Estimates Fast Fourier transform Gauss–Newton method Inverse compositional algorithm Path-independence Robustness Gauss–Newton method Inverse compositional algorithm Digital image correlation Path-independence Fast Fourier transform
ISSN:	0143-8166, 1873-0302
Online-Zugang:	Volltext
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Abstract	The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads to path-dependence. Using the known deformation at a processed point to estimate the initial guess at its neighboring points could save considerable computation time, and a cogitatively-selected processing path contributes to the improved robustness. In this work, our experimental study demonstrates that a path-independent DIC method is capable to achieve high accuracy, efficiency and robustness in full-field measurement of deformation, by combining an inverse compositional Gauss–Newton (IC-GN) algorithm for sub-pixel registration with a fast Fourier transform-based cross correlation (FFT-CC) algorithm to estimate the initial guess. In the proposed DIC method, the determination of initial guess accelerated by well developed software library can be a negligible burden of computation. The path-independence also endows the DIC method with the ability to handle the images containing large discontinuity of deformation without manual intervention. Furthermore, the possible performance of the proposed path-independent DIC method on parallel computing device is estimated, which shows the feasibility of the development of real-time DIC with high-accuracy. •This paper proposes a path-independent DIC method.•The proposed DIC method reaches high measurement accuracy at sub-pixel level.•The proposed DIC method shows excellent robustness for deformation discontinuity.•This work demonstrates the feasibility of real-time DIC with high accuracy.
AbstractList	The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads to path-dependence. Using the known deformation at a processed point to estimate the initial guess at its neighboring points could save considerable computation time, and a cogitatively-selected processing path contributes to the improved robustness. In this work, our experimental study demonstrates that a path-independent DIC method is capable to achieve high accuracy, efficiency and robustness in full-field measurement of deformation, by combining an inverse compositional Gauss-Newton (IC-GN) algorithm for sub-pixel registration with a fast Fourier transform-based cross correlation (FFT-CC) algorithm to estimate the initial guess. In the proposed DIC method, the determination of initial guess accelerated by well developed software library can be a negligible burden of computation. The path-independence also endows the DIC method with the ability to handle the images containing large discontinuity of deformation without manual intervention. Furthermore, the possible performance of the proposed path-independent DIC method on parallel computing device is estimated, which shows the feasibility of the development of real-time DIC with high-accuracy. The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads to path-dependence. Using the known deformation at a processed point to estimate the initial guess at its neighboring points could save considerable computation time, and a cogitatively-selected processing path contributes to the improved robustness. In this work, our experimental study demonstrates that a path-independent DIC method is capable to achieve high accuracy, efficiency and robustness in full-field measurement of deformation, by combining an inverse compositional Gauss–Newton (IC-GN) algorithm for sub-pixel registration with a fast Fourier transform-based cross correlation (FFT-CC) algorithm to estimate the initial guess. In the proposed DIC method, the determination of initial guess accelerated by well developed software library can be a negligible burden of computation. The path-independence also endows the DIC method with the ability to handle the images containing large discontinuity of deformation without manual intervention. Furthermore, the possible performance of the proposed path-independent DIC method on parallel computing device is estimated, which shows the feasibility of the development of real-time DIC with high-accuracy. •This paper proposes a path-independent DIC method.•The proposed DIC method reaches high measurement accuracy at sub-pixel level.•The proposed DIC method shows excellent robustness for deformation discontinuity.•This work demonstrates the feasibility of real-time DIC with high accuracy.
Author	Kemao, Qian Yang, Jinglei Jiang, Zhenyu Miao, Hong Tang, Liqun
Author_xml	– sequence: 1 givenname: Zhenyu surname: Jiang fullname: Jiang, Zhenyu email: zhenyujiang@scut.edu.cn organization: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China – sequence: 2 givenname: Qian surname: Kemao fullname: Kemao, Qian email: mkmqian@ntu.edu.sg organization: School of Computer Engineering, Nanyang Technological, University, Singapore 639798, Singapore – sequence: 3 givenname: Hong surname: Miao fullname: Miao, Hong organization: Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China – sequence: 4 givenname: Jinglei surname: Yang fullname: Yang, Jinglei organization: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore – sequence: 5 givenname: Liqun surname: Tang fullname: Tang, Liqun organization: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
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Keywords	Gauss–Newton method Inverse compositional algorithm Digital image correlation Path-independence Fast Fourier transform
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Snippet	The initial guess transferring mechanism is widely used in iterative DIC algorithms and leads to path-dependence. Using the known deformation at a processed...
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SubjectTerms	Accuracy Algorithms Computation Deformation Devices Digital image correlation Estimates Fast Fourier transform Gauss–Newton method Inverse compositional algorithm Path-independence Robustness
Title	Path-independent digital image correlation with high accuracy, speed and robustness
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