Experiments in Fluids

, Volume 42, Issue 5, pp 799–810 | Cite as

A simple calibration technique for stereoscopic particle image velocimetry

  • Andreas FourasEmail author
  • Jonathan Dusting
  • Kerry Hourigan
Research Article


A novel Stereo PIV technique, with improvements over other techniques, is presented. The key feature of the new technique is the direct measurement of calibration data at each point in space on the measurement grid, so that no interpolation is necessary. This is achieved through the use of a contiguous target which can be analysed using standard PIV processing software. The technique results in three-dimensional measurements of high accuracy with a significantly simpler calibration phase. This has the benefit of improving ease of use and reducing the time taken to obtain data. Thorough error analysis shows that while previously-described error trends are correct, additional facets of the technique can be optimised to allow highly accurate results. The new technique is rigorously validated here using pure translation and rotation test cases. Finally, the technique is used to measure a complex swirling flow within a cylindrical vessel.


Particle Image Velocimetry Stereo Particle Image Velocimetry Geometric Reconstruction Particle Image Velocimetry Processing Standard Particle Image Velocimetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Arroyo M, Greated C (1991) Stereoscopic particle image velocimetry. Meas Sci Technol 2:1181–1186CrossRefGoogle Scholar
  2. Dusting J, Sheridan J, Hourigan K (2006) A fluid dynamics approach to bioreactor design for cell and tissue culture. Biotechnol Bioeng 94:1196–1208CrossRefGoogle Scholar
  3. Fouras A, Soria J (1998) Accurate out-of-plane vorticity calculation from in-plane velocity vector field data. Exp Fluids 25:409–430CrossRefGoogle Scholar
  4. Fouras A, Hourigan K, Kawahashi M, Hirahawa H (2006) An improved free surface topographic technique. J Vis 9:49–56CrossRefGoogle Scholar
  5. Hori T, Sakakibara J (2004) High-speed scanning stereoscopic piv for 3d vorticity measurement in liquids. Meas Sci Technol 15:1067–1078CrossRefGoogle Scholar
  6. Lawson N, Wu J (1997a) Three-dimensional particle image velocimetry: error analysis of stereoscopic techniques. Meas Sci Technol 8:894–900CrossRefGoogle Scholar
  7. Lawson N, Wu J (1997b) Three-dimensional particle image velocimetry: experimental error analysis of a digital angular stereoscopic system. Meas Sci Technol 8:1455–1464CrossRefGoogle Scholar
  8. Lindken R (2006) Stereoscopic micro particle image velocimetry. Exp Fluids 41:161–171Google Scholar
  9. Perret L, Braud P, Fourment C, David L, Delville J (2006) 3-component acceleration field measurement by dual-time stereoscopic particle image velocimetry. Exp Fluids 40:813–824CrossRefGoogle Scholar
  10. Prasad A (2000) Stereoscopic particle image velocimetry. Exp Fluids 29:103–116CrossRefGoogle Scholar
  11. Prasad A, Adrian R (1993) Stereoscopic particle image velocimetry applied to liquid flows. Exp Fluids 15:49–60CrossRefGoogle Scholar
  12. Raffel M, Willert CE, Kompenhans J (1998) Particle image velocimetry: a practical guide. Springer, BerlinGoogle Scholar
  13. Schroder A, Kompenhans J (2004) Investigation of a turbulent spot using multi-plane stereo particle image velocimetry. Exp Fluids 36:82–90CrossRefGoogle Scholar
  14. Soloff SM, Adrian RJ, Liu ZC (1997) Distortion compensation for generalized stereoscopic particle image velocimetry. Meas Sci Technol 8:1441–1454CrossRefGoogle Scholar
  15. Spohn A, Mory M, Hopfinger EJ (1993) Observations of vortex breakdown in an open cylindrical container with a rotating bottom. Exp Fluids 14:70–77CrossRefGoogle Scholar
  16. Wieneke B (2005) Stereo-piv using self-calibration on particle images. Exp Fluids 39:267–280CrossRefGoogle Scholar
  17. Willert C (1997) Stereoscopic digital particle image velocimetry for application in wind tunnel flows. Meas Sci Technol 8:1465–1479CrossRefGoogle Scholar
  18. Zang W, Prasad A (1997) Performance evaluation of a scheimpflug stereocamera for particle image velocimetry. Appl Opt 36:8738–8744CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Andreas Fouras
    • 1
    Email author
  • Jonathan Dusting
    • 1
  • Kerry Hourigan
    • 1
  1. 1.Fluids Laboratory for Aeronautical and Industrial Research (FLAIR) Department of Mechanical EngineeringMonash UniversityClaytonAustralia

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