Single High-Speed Camera Based 3D Deflection Reconstruction in Frequency Domain

  • Janko SlavičEmail author
  • Domen Gorjup
  • Miha Boltežar
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


High-speed camera systems are a well-established alternative to traditional vibration measurement techniques, particularly in cases when the region of interest on the observed object is near-planar. With the introduction of 3D digital image correlation some of the traditional limitations of 2D imaging systems are eliminated, but the limited field of view of stereo camera pairs remain problematic in some applications.

In this paper the possibility of extending the use of high-speed camera systems to vibration measurement of arbitrarily shaped structures by applying methods, commonly used in multi-view computer vision is explored. A single high speed camera is used to record the vibrating structure from multiple points of view. By utilizing properties of linear, time-invariant mechanical systems, multi-view triangulation is then performed in frequency domain on displacement data, extracted from these image sequences using optical flow or digital image correlation. The acquired 3D spectra are finally used in full-field deflection reconstruction.


High-speed camera Vibration measurement Frequency domain Multiview geometry Optical flow 


  1. 1.
    Chu, T.C., Ranson, W.F., Sutton, M.A.: Applications of digital-image-correlation techniques to experimental mechanics. Exp. Mech. 25(3), 232–244 (1985)CrossRefGoogle Scholar
  2. 2.
    Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, New York (2003)zbMATHGoogle Scholar
  3. 3.
    Harvent, J., Bugarin, F., Orteu, J.-J., Devy, M., Barbeau, P., Marin, G. Inspection of aeronautics parts for shape defect detection using a multi-camera system. In: Proc. SEM XI Int. Congr. Exp. Appl. Mech. Orlando, FL, USA, pp. 2–5, 2008Google Scholar
  4. 4.
    Orteu, J.-J., Bugarin, F., Harvent, J., Robert, L., Velay, V.: Multiple-camera instrumentation of a single point incremental forming process pilot for shape and 3D displacement measurements: methodology and results. Exp. Mech. 51(4), 625–639 (2011)CrossRefGoogle Scholar
  5. 5.
    Wang, Y., Lava, P., Coppieters, S., Houtte, P.V., Debruyne, D.: Application of a multi-camera stereo DIC set-up to assess strain fields in an Erichsen test: methodology and validation. Strain. 49(2), 190–198 (2013)CrossRefGoogle Scholar
  6. 6.
    Pan, B.: Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals. Meas. Sci. Technol. 29(8), 82001 (2018)CrossRefGoogle Scholar
  7. 7.
    LeBlanc, B., Niezrecki, C., Avitabile, P., Sherwood, J., Chen, J.: Surface stitching of a wind turbine blade using digital image correlation. In: Topics in Modal Analysis II, vol. 6, pp. 277–284. Springer, New York (2012)CrossRefGoogle Scholar
  8. 8.
    Patil, K., Baqersad, J., Sheidaei, A.: A multi-view digital image correlation for extracting mode shapes of a tire. In: Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, vol. 9, pp. 211–217. Springer, Cham (2017)CrossRefGoogle Scholar
  9. 9.
    Javh, J., Slavič, J., Boltežar, M.: The subpixel resolution of optical-flow-based modal analysis. Mech. Syst. Signal Process. 88, 89–99 (2017)CrossRefGoogle Scholar
  10. 10.
    Hartley, R.I., Sturm, P.: Triangulation. Comput. Vis. Image Underst. 68(2), 146–157 (1997)CrossRefGoogle Scholar

Copyright information

© Society for Experimental Mechanics, Inc. 2019

Authors and Affiliations

  1. 1.Faculty of Mechanical EngineeringUniversity of LjubljanaLjubljanaSlovenia

Personalised recommendations