Path-dependent digital image correlation based on GPU acceleration
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TP751. 1, TN29

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    Abstract:

    The demands for computing efficiency of digital image correlation (DIC) is increasing, a GPU-accelerated path-dependent DIC method is proposed. This algorithm uses FFT-CC algorithm to calculate the initial seed points and IC-GN method to carry out subpixel registration. Then, through the initial value transfer scheme, multiple seed points are generated to participate in the parallel calculation of sub-pixel registration, so that the calculation points can be rapidly spread until the region of interest is completed. Experiment results show that, the proposed method has a good accuracy and can obtain a clear surface deformation nephogram. It achieves a computing speed of 6. 5×10 5 points per second with a subset size of 17×17 pixels. Compared with typical high-speed DIC algorithm, the speed enhancement is over 50%. It provides reference for the design of high speed DIC algorithm.

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  • Online: November 20,2023
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