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Experimental Quantification of Sensor-Based Stereocameras’ Extrinsic Parameters Calibration

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Computer Vision & Laser Vibrometry, Volume 6 (SEM 2023)


Three-dimensional digital image correlation (3D-DIC) has shown to be a powerful tool to extract full-field displacement and deformations of structures using a series of synchronized stereo images. Before performing 3D-DIC measurements, the stereovision system must be calibrated to determine the relative position of the two cameras. Traditionally, this has been done by taking pictures of a calibration target whose dimensions are well known. Because the calibration target must be as large as the inspected object to properly calibrate the entire measurement volume (i.e., large-area calibration), for large fields of view, the calibration procedure becomes a challenge. This research aims at reducing the complexity of large-area calibration by measuring the extrinsic parameters of the stereovision system using a suite of sensors. In particular, three inertial measurement units and a laser distance meter are used to measure the cameras’ relative position and orientation in space. In this chapter, the performance of the proposed sensor-based extrinsic calibration is compared with the traditional image-based calibration method. Laboratory tests show that the extrinsic parameters computed with the sensor-based method can be used for performing a 3D-DIC analysis that yields an error below 5% when the results are compared with the displacement retrieved using a traditional approach. The results of this study demonstrate that the proposed sensor-based calibration approach is a valid and a faster alternative to traditional image-based calibration methods. The sensor-based calibration has the potential to expand the use of 3D-DIC by making it more suitable for large-scale applications.

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  1. Sutton M.A., Orteu J.-J., Schreier, H.W.: Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, H. Schreier, J.-J. Orteu, M.A. Sutton (eds.). Boston: Springer US (2009)

    Google Scholar 

  2. Niezrecki, C., Baqersad, J., Sabato, A.: Digital image correlation techniques for NDE and SHM. In: Ida, N., Meyendorf, N. (eds.) Handbook of Advanced Nondestructive Evaluation, pp. 1545–1590. Springer International Publishing, Cham (2019)

    Chapter  Google Scholar 

  3. Zhang, D.Z.Z., Zhang, J., Peng, Z.: Improved robust and accurate camera calibration method used for machine vision application. Opt. Eng. 47(11), 117201 (2008)

    Article  Google Scholar 

  4. Remondino, F., Fraser, C.: Digital camera calibration methods: considerations and comparisons. Ine. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 36, 11/30 (2005)

    Google Scholar 

  5. Reu, P.: Hidden components of DIC: calibration and shape function – part 1. Exp. Tech. 36(2), 3–5 (2012).

    Article  Google Scholar 

  6. Feng, W., Zhilong, S., Yongsheng, H., Haibo, L., Qifeng, Y., Shaoping, L., Dongsheng, Z.: Inertial measurement unit aided extrinsic parameters calibration for stereo vision systems. Opt. Lasers Eng. 134, 106252 (2020).

    Article  Google Scholar 

  7. Kumar, D., Chiang, C.-H., Lin, Y.-C.: Experimental vibration analysis of large structures using 3D DIC technique with a novel calibration method. J. Civil. Struct. Health Monit. 12, 391 (2022).

    Article  Google Scholar 

  8. Sabato, A., Valente, N.A., Niezrecki, C.: Development of a camera localization system for three-dimensional digital image correlation camera triangulation. IEEE Sensors J. 20(19), 11518–11526 (2020).

    Article  Google Scholar 

  9. Sabato A., Niezrecki C.: Development of an IMU-radar sensor board for three-dimensional digital image correlation camera triangulation. In: Proc. SPIE (2019), vol. 10972.

  10. Bottalico F., Valente N.A., Dabetwar S., Jerath K., Luo Y., Niezrecki C., Sabato A.: A sensor-based calibration system for three-dimensional digital image correlation. In: Proc. SPIE (2022), vol. 12048.

  11. Corke, P.I.: A simple and systematic approach to assigning Denavit–Hartenberg parameters. IEEE Trans. Robot. 23(3), 590–594 (2007).

    Article  Google Scholar 

  12. puA1600-60uc - Basler pulse. Accessed 22 Oct 2022

  13. LPMS-IG1 Series: High Precision 9-Axis Inertial Measurement Unit (IMU) / AHRS with USB / CAN / RS232 / RS485 Connectivity and Optional GPS Receiver. Accessed 22 Oct 2022

  14. 40m Professional Width Measuring Sensor. Accessed 22 Oct 2022

  15. Turner D.Z.: Digital Image Correlation Engine (DICe) Reference Manual, Sandia Report, SAND2015-10606 O (2015). [Online]. Available: Accessed 22 Oct 2022

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This work was supported by the US National Science Foundation (NSF) under award number 2018992, “MRI: Development of a calibration system for stereophotogrammetry to enable large-scale measurement and monitoring.” The contents are those of the authors and do not necessarily represent the official views of, nor an endorsement, by the funding agency.

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Correspondence to Fabio Bottalico .

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Bottalico, F., Niezrecki, C., Jerath, K., Luo, Y., Sabato, A. (2024). Experimental Quantification of Sensor-Based Stereocameras’ Extrinsic Parameters Calibration. In: Baqersad, J., Di Maio, D. (eds) Computer Vision & Laser Vibrometry, Volume 6. SEM 2023. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham.

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