| Issue |
EPJ Web Conf.
Volume 335, 2025
EOS Annual Meeting (EOSAM 2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting - Applications of Optics and Photonics | |
| DOI | https://doi.org/10.1051/epjconf/202533503004 | |
| Published online | 22 September 2025 | |
https://doi.org/10.1051/epjconf/202533503004
A Method for Initial Guess Based on Multi-Level Grid Interpolation and Motion Characteristics Analysis for Digital Image Correlation
School of Mechanical Engineering & Automation, Beihang University, 100191 Beijing, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 22 September 2025
Abstract
To reduce the computational load for Digital Image Correlation (DIC) measurement, this paper proposes a multi-level grid interpolation and motion characteristics analysis initial guess method. In an image, all subsets that need to be calculated are divided into multiple levels of grids. Based on the deformation parameters of low-level grid cells, the initial deformation parameters of higher-level grid cells can be estimated. In the image sequence of quasi-static material tests, the deformation parameters of the 0-level subsets in the next image can be estimated by analyzing the motion characteristics of those subsets. The proposed method is validated using images from the classic “DIC Challenge” [1]. The algorithm proposed in this paper can effectively improve the accuracy of overall initial value estimation, and improving the overall execution speed of the algorithm.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.