High accuracy digital image correlation powered by GPU-based parallel computing

A sub-pixel digital image correlation (DIC) method with a path-independent displacement tracking strategy has been implemented on NVIDIA compute unified device architecture (CUDA) for graphics processing unit (GPU) devices. Powered by parallel computing technology, this parallel DIC (paDIC) method,...

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Bibliographic Details
Published in:Optics and lasers in engineering Vol. 69; pp. 7 - 12
Main Authors: Zhang, Lingqi, Wang, Tianyi, Jiang, Zhenyu, Kemao, Qian, Liu, Yiping, Liu, Zejia, Tang, Liqun, Dong, Shoubin
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2015
Subjects:
Compute unified device architecture
Digital image correlation
Graphics processing unit
Inverse compositional Gauss–Newton algorithm
Parallel computing
Parallel computing
Compute unified device architecture
Inverse compositional Gauss–Newton algorithm
Digital image correlation
Graphics processing unit
ISSN:0143-8166, 1873-0302
Online Access:Get full text
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Summary:A sub-pixel digital image correlation (DIC) method with a path-independent displacement tracking strategy has been implemented on NVIDIA compute unified device architecture (CUDA) for graphics processing unit (GPU) devices. Powered by parallel computing technology, this parallel DIC (paDIC) method, combining an inverse compositional Gauss–Newton (IC-GN) algorithm for sub-pixel registration with a fast Fourier transform-based cross correlation (FFT-CC) algorithm for integer-pixel initial guess estimation, achieves a superior computation efficiency over the DIC method purely running on CPU. In the experiments using simulated and real speckle images, the paDIC reaches a computation speed of 1.66×105POI/s (points of interest per second) and 1.13×105POI/s respectively, 57–76 times faster than its sequential counterpart, without the sacrifice of accuracy and precision. To the best of our knowledge, it is the fastest computation speed of a sub-pixel DIC method reported heretofore. •This paper reports the implementation of the path-independent DIC on GPU device.•The IC-GN algorithm-based DIC is accelerated for nearly two orders of magnitude.•Parallel computing-powered sub-pixel DIC achieves the highest speed ever reported.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2015.01.012