Sensor-aided camera calibration for three dimensional digital image correlation measurements

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

doi:10.1117/12.2657163

25 April 2023 Sensor-aided camera calibration for three dimensional digital image correlation measurements

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

Proceedings Volume 12488, Health Monitoring of Structural and Biological Systems XVII; 1248817 (2023) https://doi.org/10.1117/12.2657163
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

Abstract

Stereovision systems can extract full-field three-dimensional (3D) displacements of structures by processing the images collected with two synchronized cameras. To obtain accurate measurements, the cameras must be calibrated to account for lens distortion (i.e., intrinsic parameters) and compute the cameras’ relative position and orientation (i.e., extrinsic parameters). Traditionally, calibration is performed by taking photos of a calibration object (e.g., a checkerboard) with the two cameras. Because the calibration object must be similar in size to the targeted structure, measurements on large-scale structures are highly impractical. This research proposes a multi-sensor board with three inertial measurement units and a laser distance meter to compute the extrinsic parameters of a stereovision system and streamline the calibration procedure. In this paper, the performances of the proposed sensor-based calibration are compared with the accuracy of the traditional image-based calibration procedure. Laboratory experiments show that cameras calibrated with the multi-sensor board measure displacements with 95% accuracy compared to displacements obtained from cameras calibrated with the traditional procedure. The results of this study indicate that the sensor-based approach can increase the applicability of 3D digital image correlation measurements to large-scale structures while reducing the time and complexity of the calibration.

Conference Presentation

Citation Download Citation

Fabio Bottalico, Nicholas A. Valente, Christopher Niezrecki, Kshitij Jerath, Yan Luo, and Alessandro Sabato "Sensor-aided camera calibration for three dimensional digital image correlation measurements", Proc. SPIE 12488, Health Monitoring of Structural and Biological Systems XVII, 1248817 (25 April 2023); https://doi.org/10.1117/12.2657163

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