Abstract
Motion magnification has gained popularity within the scientific community for its non-invasive approach to structural health monitoring. Due to the arduous task of instrumenting complex geometric structures, phase-based motion magnification (MM) permits an amplification of small motions that are not visible to the naked eye. Although MM offers a potential alternative to manual instrumentation, the extracted motion may contain artifacts due to the amplification factor. Depending upon the value of magnification, noisy displacement measurements can be present which tend to produce inconclusive results concerning frequency content. This paper presents the application of total variation (TV) to improve the amount noise present in extracted phase displacements. In the presence of large artifacts that come as a result of the magnification factor, the improvement of a spectral signal produces a more conclusive frequency response of the experimental structure. Prior work has attempted to zoom into a small range of pixels to increase spectral resolution; however, this limits the field of view and does not capture a large dynamic range of motion. Total variation has the capability of improving spectral resolution without having to spatially zoom in on a group of pixels. In this work, the modified method of motion magnification and total variation (MMTV) is applied to a simple geometric structure for structural dynamic identification.
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References
Liu, C., Torralba, A., Freeman, W.T., Durand, F., Adelson, E.: Motion magnification. ACM Trans. Graph. 24, 519–526 (2005). https://doi.org/10.1145/1186822.1073223
Wadhwa, N., Rubinstein, M., Durand, F., Freeman, W.T.: Riesz pyramids for fast phase-based video magnification. 2014 IEEE International Conference on Computational Photography (ICCP) (2014). https://doi.org/10.1109/ICCPHOT.2014.6831820
Wadhwa, N., Rubinstein, M., Durand, F., Freeman, T.W.: Phase-based video motion processing. ACM Trans. Graph. 32 (2013). https://doi.org/10.1145/2461912.2461966
Wadhwa, N., Wu, H.-Y., Davis, A., Rubinstein, M., Shih, E., Mysore, G.J., Chen, J.G., Buyukozturk, O., Guttag, J.V., Freeman, W.T., Durand, F.: Eulerian video magnification and analysis. Commun. ACM. 60, 87–95 (2016). https://doi.org/10.1145/3015573
Harmanci, Y.E., Gülan, U., Holzner, M., Chatzi, E.: A novel approach for 3D-structural identification through video recording: magnified tracking. Sensors. 19, 1229 (2019). https://doi.org/10.3390/s19051229
Molina-Viedma, A.J., Felipe-Sesé, L., López-Alba, E., DÃaz, F.A.: 3D mode shapes characterisation using phase-based motion magnification in large structures using stereoscopic DIC. Mech. Syst. Signal Process. 108, 140–155 (2018). https://doi.org/10.1016/j.ymssp.2018.02.006
Poozesh, P., Sarrafi, A., Mao, Z., Avitabile, P., Niezrecki, C.: Feasibility of extracting operating shapes using phase-based motion magnification technique and stereo-photogrammetry. J. Sound Vib. 407, 350–366 (2017). https://doi.org/10.1016/j.jsv.2017.06.003
Qiu, Q., Lau, D.: Defect detection in FRP-bonded structural system via phase-based motion magnification technique. Struct.l Control Health Monit. 25, e2259 (2018). https://doi.org/10.1002/stc.2259
Sarrafi, A., Mao, Z., Niezrecki, C., Poozesh, P.: Vibration-based damage detection in wind turbine blades using phase-based motion estimation and motion magnification. J. Sound Vib. 421, 300–318 (2018). https://doi.org/10.1016/j.jsv.2018.01.050
Shang, Z., Shen, Z.: Multi-point vibration measurement and mode magnification of civil structures using video-based motion processing. Autom. Constr. 93, 231–240 (2018). https://doi.org/10.1016/j.autcon.2018.05.025
Srivastava, V., Baqersad, J.: An optical-based technique to obtain operating deflection shapes of structures with complex geometries. Mech. Syst. Signal Process. 128, 69–81 (2019). https://doi.org/10.1016/j.ymssp.2019.03.021
Branch, N., Stewart, E.C.: Applications of Phase-Based Motion Processing. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, p. 1948 (2018). https://doi.org/10.2514/6.2018-1948
Chambolle, A., Caselles, V., Novaga, M., Cremers, D., Pock, T.: An introduction to total variation for image analysis. 9 (2010). https://doi.org/10.1515/9783110226157.263
Chen, J., Davis, A., Wadhwa, N., Durand, F., Freeman, W.T., Büyüköztürk, O.: Video camera–based vibration measurement for civil infrastructure applications. J. Infrastruct. Syst. 23, B4016013 (2016). https://doi.org/10.1061/(ASCE)IS.1943-555X.0000348
Chen, J., Wadhwa, N., Cha, Y.-J., Durand, F., Freeman, W.T., Buyukozturk, O.: Modal identification of simple structures with high-speed video using motion magnification. J. Sound Vib. 345, 58–71 (2015). https://doi.org/10.1016/j.jsv.2015.01.024
Wu, X., Yang, X., Jin, J., Yang, Z.: Amplitude-based filtering for video magnification in presence of large motion. Sensors. 18, 2312 (2018). https://doi.org/10.3390/s18072312
Fioriti, V., Roselli, I., Tatì, A., Romano, R., De Canio, G.: Motion magnification analysis for structural monitoring of ancient constructions. Measurement. 129, 375–380 (2018). https://doi.org/10.1016/j.measurement.2018.07.055
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This material is based upon work supported by the National Science Foundation under Grant No. 1762809. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Valente, N.A., Mao, Z., Southwick, M., Niezrecki, C. (2020). Implementation of Total Variation Applied to Motion Magnification for Structural Dynamic Identification. In: Di Maio, D., Baqersad, J. (eds) Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-47721-9_17
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