A sensor-based calibration system for three-dimensional digital image correlation

Fabio Bottalico; Nicholas A. Valente; Shweta Dabetwar; Kshitij Jerath; Yan Luo; Christopher Niezrecki; Alessandro Sabato

doi:10.1117/12.2612106

19 April 2022 A sensor-based calibration system for three-dimensional digital image correlation

Fabio Bottalico, Nicholas A. Valente, Shweta Dabetwar, Kshitij Jerath, Yan Luo, Christopher Niezrecki, Alessandro Sabato

Author Affiliations +

Proceedings Volume 12048, Health Monitoring of Structural and Biological Systems XVI; 120480Z (2022) https://doi.org/10.1117/12.2612106
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

Three-dimensional digital image correlation (3D-DIC) has become a strong alternative to traditional contact-based techniques for structural health monitoring. 3D-DIC can extract the full-field displacement of a structure from a set of synchronized stereo images. Before performing 3D-DIC, a complex calibration process must be completed to obtain the stereovision system’s extrinsic parameters (i.e., cameras’ distance and orientation). The time required for the calibration depends on the dimensions of the targeted structure. For example, for large-scale structures, the calibration may take several hours. Furthermore, every time the cameras’ position changes, a new calibration is required to recalculate the extrinsic parameters. The approach proposed in this research allows determining the 3D-DIC extrinsic parameters using the data measured with commercially available sensors. The system utilizes three Inertial Measurement Units with a laser distance meter to compute the relative orientation and distance between the cameras. In this paper, an evaluation of the sensitivity of the newly developed sensor suite is provided by assessing the errors in the measurement of the extrinsic parameters. Analytical simulations performed on a 7.5 x 5.7 m field of view using the data retrieved from the sensors show that the proposed approach provides an accuracy of ~10-6 m and a promising way to reduce the complexity of 3D-DIC calibration.

Conference Presentation

Citation Download Citation

Fabio Bottalico, Nicholas A. Valente, Shweta Dabetwar, Kshitij Jerath, Yan Luo, Christopher Niezrecki, and Alessandro Sabato "A sensor-based calibration system for three-dimensional digital image correlation", Proc. SPIE 12048, Health Monitoring of Structural and Biological Systems XVI, 120480Z (19 April 2022); https://doi.org/10.1117/12.2612106

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