Fast, Accurate and Fully Parallelizable Digital Image Correlation
Peihan Tu

TL;DR
This paper introduces a fully parallelizable digital image correlation method that improves initial guess estimation, reduces computation time, and enhances robustness in surface deformation measurements.
Contribution
It proposes a novel DIC approach dividing the process into initial guess estimation and sub-pixel registration, enabling full parallelization and better handling of complex deformation fields.
Findings
Provides a pre-knowledge of deformation fields
Saves computational time
Reduces error propagation
Abstract
Digital image correlation (DIC) is a widely used optical metrology for surface deformation measurements. DIC relies on nonlinear optimization method. Thus an initial guess is quite important due to its influence on the converge characteristics of the algorithm. In order to obtain a reliable, accurate initial guess, a reliability-guided digital image correlation (RG-DIC) method, which is able to intelligently obtain a reliable initial guess without using time-consuming integer-pixel registration, was proposed. However, the RG-DIC and its improved methods are path-dependent and cannot be fully parallelized. Besides, it is highly possible that RG-DIC fails in the full-field analysis of deformation without manual intervention if the deformation fields contain large areas of discontinuous deformation. Feature-based initial guess is highly robust while it is relatively time-consuming.…
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Taxonomy
TopicsOptical measurement and interference techniques · Image Processing Techniques and Applications · Advanced Vision and Imaging
