A cluster-approach-based three-camera digital image correlation (DIC) system is introduced for full-field 3D shape and motion measurement. In this system, three cameras are employed to measure the same specimen area at different viewing angles. Data points within the region of interest can be evaluated by arbitrary camera pairs as a stereo DIC system so that data points with the smallest 3D residuum are selected and mapped into one common coordinate system. Two stationary shape measurements and one out-of-plane motion measurement were carried out with the three-camera DIC system. Test results were analyzed based on the same image series, projection calibration, and correlation parameters, but compared using different camera combinations (i.e., three-camera and two-camera data). Three-camera test results show not only an improved surface coverage due to the additional camera viewing angle for uneven specimen surfaces, but also a smaller and more homogenous distributed measurement uncertainty compared to the two-camera test results. The selection of data points with the smallest 3D residuum evaluated from any arbitrary camera pairs enables a better tolerance of the three-camera DIC system against various measurement error sources such as limited depth of field, lens distortion, and speckle pattern distortion due to tilted camera viewing angles.
Chen, F., X. Chen, X. Xie, X. Feng, and L. Yang. 2013. “Full-field 3D measurement using multi-camera digital image correlation system.” Optics and Lasers in Engineering 51 (9): 1044–52. https://doi.org/10.1016/j.optlaseng.2013.03.001.
Chen, X., L. Yang, N. Xu, X. Xie, B. Sia, and R. Xu. 2014. “Cluster approach based multi-camera digital image correlation: Methodology and its application in large area high temperature measurement.” Optics & Laser Technology 57:318–26. https://doi.org/10.1016/j.optlastec.2013.08.005.
Ke, X. D., H. W. Schreier, M. A. Sutton, and Y. Q. Wang. 2011. “Error assessment in stereo-based deformation measurements.” Experimental Mechanics 51 (4): 423–41. https://doi.org/10.1007/s11340-010-9450-3.
Luo, P. F., Y. J. Chao, M. A. Sutton, and W. H. Peters, III. 1993. “Accurate measurement of three-dimensional deformations in deformable and rigid bodies using computer vision.” Experimental Mechanics 33 (2): 123–32. https://doi.org/10.1007/BF02322488.
Malowany, K., M. Malesa, T. Kowaluk, and M. Kujawinska. 2017. “Multi-camera digital image correlation method with distributed fields of view.” Optics and Lasers in Engineering 98:198–204. https://doi.org/10.1016/j.optlaseng.2017.05.003.
Niezrecki, C., P. Avitabile, C. Warren, P. Pingle, M. Helfrick, and E. P. Tomasini. 2010. “A review of digital image correlation applied to structural dynamics.” AIP Conference Proceedings 1253 (1): 219–32. https://doi.org/10.1063/1.3455461.
Orteu, J. J. 2009. “3-D computer vision in experimental mechanics.” Optics and Lasers in Engineering 47 (3-4): 282–91. https://doi.org/10.1016/j.optlaseng.2007.11.009.
Orteu, J. J., F. Bugarin, J. Harvent, L. Robert, and V. Velay. 2011. “Multiple-camera instrumentation of a single point incremental forming process pilot for shape and 3D displacement measurements: Methodology and results.” Experimental Mechanics 51 (4): 625–39. https://doi.org/10.1007/s11340-010-9436-1.
Palanca, M., G. Tozzi, and L. Cristofolini. 2016. “The use of digital image correlation in the biomechanical area: A review.” International Biomechanics 3 (1): 1–21. https://doi.org/10.1080/23335432.2015.1117395.
Pan, B. 2018. “Digital image correlation for surface deformation measurement: Historical developments, recent advances and future goals.” Measurement Science & Technology 29 (8): 082001. https://doi.org/10.1088/1361-6501/aac55b.
Peters, W. H., and W. F. Ranson. 1982. “Digital imaging techniques in experimental stress analysis.” Optical Engineering (Redondo Beach, Calif.) 21 (3): 427–31. https://doi.org/10.1117/12.7972925.
Reu, P. 2013. “Stereo-rig design: Stereo-angle selection - part 4.” Experimental Techniques 37 (2): 1–2. https://doi.org/10.1111/ext.12006.
Sutton, M. A., W. J. Wolters, W. H. Peters, W. F. Ranson, and S. R. McNeill. 1983. “Determination of displacements using an improved digital correlation method.” Image and Vision Computing 1 (3): 133–39. https://doi.org/10.1016/0262-8856(83)90064-1.
Sutton, M. A., J. H. Yan, V. Tiwari, H. W. Schreier, and J. J. Orteu. 2008. “The effect of out-of-plane motion on 2D and 3D digital image correlation measurements.” Optics and Lasers in Engineering 46 (10): 746–57. https://doi.org/10.1016/j.optlaseng.2008.05.005.
Wang, Y., P. Lava, S. Coppieters, P. V. Houtte, and D. Debruyne. 2013. “Application of a multi-camera stereo dic set-up to assess strain fields in an erichsen test: Methodology and validation.” Strain 49 (2): 190–98. https://doi.org/10.1111/str.12027.
Zhang, Z. 2000. “A flexible new technique for camera calibration.” IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (11): 1330–34. https://doi.org/10.1109/34.888718.
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