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• W4283816181 startingPage "111554" @default.
• W4283816181 abstract "Parallel digital image correlation (DIC) computation has been increasingly used in DIC community due to the growing requirement on real-time deformation monitoring. In existing parallel DIC speeded up with feature-based initialization method, high parallelism requires more valid initialized points, which means more feature points are needed. However, more feature points significantly increase the time of feature extracting and matching, thus reducing the whole parallelism. To solve this problem, we propose to construct a mesh of matched feature points and assign initial values by mesh interpolation. The proposed method depends less on the feature distribution and provides more and better valid initialized points with much less feature points. Along with the well-designed parallel process, the proposed method is parallel-friendly, scalable and can realize high parallelism. The effectiveness, parallel performance, and the ability of real-time measurement of the proposed method are demonstrated by processing real experimental images." @default.
• W4283816181 created "2022-07-06" @default.
• W4283816181 creator A5006607640 @default.
• W4283816181 creator A5070819847 @default.
• W4283816181 date "2022-08-01" @default.
• W4283816181 modified "2023-09-25" @default.
• W4283816181 title "Accelerating parallel digital image correlation computation with feature mesh interpolation" @default.
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• W4283816181 doi "https://doi.org/10.1016/j.measurement.2022.111554" @default.
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