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Stereo-PIV using self-calibration on particle images

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Abstract

A stereo-PIV (stereo particle image velocimetry) calibration procedure has been developed based on fitting a camera pinhole model to the two cameras using single or multiple views of a 3D calibration plate. A disparity vector map is computed on the real particle images by cross-correlation of the images from cameras 1 and 2 to determine if the calibration plate coincides with the light sheet. From the disparity vectors, the true position of the light sheet in space is fitted and the mapping functions are corrected accordingly. It is shown that it is possible to derive accurate mapping functions, even if the calibration plate is quite far away from the light sheet, making the calibration procedure much easier. A modified 3-media camera pinhole model has been implemented to account for index-of-refraction changes along the optical path. It is then possible to calibrate outside closed flow cells and self-calibrate onto the recordings. This method allows stereo-PIV measurements to be taken inside closed measurement volumes, which was not previously possible. From the computed correlation maps, the position and thickness of the two laser light sheets can be derived to determine the thickness, degree of overlap and the flatness of the two sheets.

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References

  • Calluaud D, David L (2004) Stereoscopic particle image velocimetry measurements of the flow around a surface-mounted block. Exp Fluids 36:53–61

    Article  Google Scholar 

  • Coudert S, Schon JP (2001) Back-projection algorithm with misalignment corrections for 2D3C stereoscopic PIV. Meas Sci Technol 12:1371–1381

    Article  CAS  Google Scholar 

  • Fournel T, Coudert S, Lavest JM, Collange F, Schon JP (2003) Self-calibration of telecentric lenses: application to bubbly flow using moving stereoscopic camera. In: Proceedings of the 4th Pacific symposium on flow visualization and image processing (PSFVIP-4), Chamonix, France, June 2003

  • Fournel T, Lavest JM, Coudert S, Collange F (2004) Self-calibration of PIV video cameras in Scheimpflug condition. In: Stanislas M, Westerweel J, Kompenhans J (eds) Particle image velocimetry: recent improvements. Proceedings of the EUROPIV 2 workshop, Zaragoza, Spain, March/April 2003. Springer, Berlin Heidelberg New York, pp 391–405

  • Hartley R, Sturm P (1994) Triangulation. In: Proceedings of the ARPA image understanding workshop, Monterey, California, November 1994, pp 957–966

  • Hartley R, Zissermann A (2000) Multiple view geometry in computer vision, 1st edn. Cambridge University Press, Cambridge, UK

    Google Scholar 

  • Maas HG (1996) Contributions of digital photogrammetry to 3D PTV. In: Dracos T (ed) Three-dimensional velocity and vorticity measuring and image analysis techniques. Kluwer, Dordrecht, The Netherlands, pp 191–208

    Google Scholar 

  • Meinhart CD, Wereley ST, Santiago JG (1999) A PIV algorithm for estimating time-averaged velocity fields. In: Proceedings of optical methods and image processing in fluid flow, 3rd ASME/JSME joint fluids engineering conference, San Francisco, California, July 1999

  • Prasad AK (2000) Stereoscopic particle image velocimetry. Exp Fluids 29:103–116

    Article  Google Scholar 

  • Soloff SM, Adrian RJ, Liu ZC (1997) Distortion compensation for generalized stereoscopic particle image velocimetry. Meas Sci Technol 8:1441–1454

    Article  CAS  Google Scholar 

  • Tsai RY (1986) An efficient and accurate camera calibration technique for 3D machine vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR’86), Miami, Florida, June 1996, pp 364–374

  • Willert C (1997) Stereoscopic digital particle image velocimetry for application in wind tunnel flows. Meas Sci Technol 8:1465–1479

    Article  Google Scholar 

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Correspondence to B. Wieneke.

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Wieneke, B. Stereo-PIV using self-calibration on particle images. Exp Fluids 39, 267–280 (2005). https://doi.org/10.1007/s00348-005-0962-z

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  • DOI: https://doi.org/10.1007/s00348-005-0962-z

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