Corrigendum to “Computer vision-based non-contact structural vibration measurement: Methods, challenges and opportunities” [Measurement 243 (2024) 116426] (Measurement (2025) 243, (S026322412402311X), (10.1016/j.measurement.2024.116426))

The authors would like to acknowledge an oversight in properly citing the source of the figures. Although permission to reuse the figures was obtained, the authors inadvertently omitted the required recognition in the figure captions, as stipulated by the guidelines. The authors have prepared the necessary corrections to the figure captions, detailed below: Fig. 1. Schematic diagram of typical optical vibration measurement [41] _{[Reprinted from Computer-Aided Civil and Infrastructure Engineering, 37, 2022, J. Zhang, L. Zhou, Y. Tian, S. Yu, W. Zhao, Y. Cheng, Vortex-induced vibration measurement of a long-span suspension bridge through noncontact sensing strategies, 1617–1633, copyright (2024) with permission from John Wiley & Sons]} Fig. 2. Laser speckle [56] _{[Reprinted from Mechanical Systems and Signal Processing, 158, 2021, E. Pablo, M. Moulet, M. Melon, Random laser speckle pattern projection for non-contact vibration measurements using a single high-speed camera, 107719, copyright (2024) with permission from Elsevier]} Fig. 3. Features detected in laboratory trials [65] _{[Reprinted from Mechanical Systems and Signal Processing, 121, 2019, D. Lydon, M. Lydon, S. Taylor, J. Rincon, D. Hester, J. Brownjohn, Development and field testing of a vision-based displacement system using a low cost wireless action camera, 343-358, copyright (2024) with permission from Elsevier]} Fig. 4. Network structure of the cable background segmentation (CBS) model [73] _{[Reprinted from Mechanical Systems and Signal Processing, 197, 2023, W. Wang, D. Cui, C. Ai, Q. Zaheer, J. Wang, S. Qiu, F. Li, J. Xiong, Target-free recognition of cable vibration in complex backgrounds based on computer vision, 110392, copyright (2024) with permission from Elsevier]} Fig. 5. 3D tiny displacement measurement method [83] _{[Reprinted from Journal of Sound and Vibration, 538, 2022, Y. Shao, L. Li, J. Li, S. An, H. Hao, Target-free 3D tiny structural vibration measurement based on deep learning and motion magnification, 117244, copyright (2024) with permission from Elsevier]} Fig. 6. The complete scheme of the applied novelty detection algorithm is based on the mean frequency maps of motion [99] _{[Reprinted from Measurement, 211, 2023, Y. Zhu, S. Wang, T. Liu, C. Liu, X. Liu, An optical measurement method of structural body vibration displacement combined with image deblurring, 112598, copyright (2024) with permission from Elsevier]} Fig. 7. The general overview processing workflow integrating optical flow technology [114] _{[Reprinted from Journal of Sound and Vibration, 565, 2023, L. Luan, Y. Liu, H. Sun, Extracting high-precision full-field displacement from} videos _{via pixel matching and optical flow, 117904, copyright (2024) with permission from Elsevier]} Fig. 8. Schematic of the template region matching [123] _{[Reprinted from Measurement, 214, 2023, H. Li, X. Fang, Z. Zhu, W. Fu, C. Zhao, The approach of nanoscale vision-based measurement via diamond-machined surface topography, 112814, copyright (2024) with permission from Elsevier]} Fig. 9. Principle of digital image correlation; denotes the computation of the correlation coefficient at each location. (a) Two speckle images before and after deformation; (b) two subsets from the undeformed and deformed images; (c) distribution of the correlation coefficient; (d) displacement vector [131] _{[Reprinted from Optics and Laser Technology, 44, 2012, X. Liu, Q. Tan, L. Xiong, G. Liu, J. Liu, X. Yang, C. Wang, Performance of iterative gradient-based algorithms with different intensity change models in digital image correlation, 1060-1067, copyright (2024) with permission from Elsevier]} Fig. 10. (a) Speckles of water transfer printing and (b) the configuration of the 3D DIC measurement system [144] _{[Reprinted from Mechanical Systems and Signal Processing, 177, 2022 K. Wei, F. Yuan, X. Shao, Z. Chen, G. Wu, X. He, High-speed multi-camera 3D DIC measurement of the deformation of cassette structure with large shaking table, 109273, copyright (2024) with permission from Elsevier]} Fig. 11. Lateral (a) and front (b) view of the experimental setup. Calibration of cameras (c) [154] _{[Reprinted from Mechanical Systems and Signal Processing, 157, 2021 Roberto Del Sal, Loris Dal Bo, Emanuele Turco, Andrea Fusiello, Alessandro Zanarini, Roberto Rinaldo, Paolo Gardonio, Structural vibration measurement with multiple synchronous cameras, Mech. Syst. Sig. Process, 107742, copyright (2024) with permission from Elsevier]} Fig. 12. The overview of the proposed displacement measurement system. [172] _{[Reprinted from IEEE Transactions on Pattern Analysis and Machine Intelligence, 46,4, 2024, V. Arampatzakis, G. Pavlidis, N. Mitianoudis, N. Papamarkos, Monocular depth estimation: a thorough review, 2396-2414, copyright (2024) with permission from IEEE]} The authors offer their sincerest apologies for this oversight. The authors are grateful to the editors for their diligence in identifying the error and appreciate their understanding.