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International Symposium on Visual Computing

ISVC 2006: Advances in Visual Computing pp 891–900Cite as

Camera Self-calibration in Scheimpflug Condition for Air Flow Investigation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4292))

Abstract

Camera calibration is a necessary preliminary step to ensure high quality measurement in a section of a flow. The bundle adjustment technique is based on redundancy resulting from multi-viewing the calibration target. In this paper we proposed a well-adapted protocol for self-calibrating a Scheimpflug model. Such a protocol allows calibration by hand positioning a laser printed target. Experimental results indicate that with only 5 views we can accurately calibrate a Scheimpflug camera in Stereoscopic Particle Image Velocimetry condition.

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References

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Author information

Authors and Affiliations

  1. Laboratoire Traitement du Signal et Instrumentation, UMR 5516 CNRS, Université Jean Monnet, 18 rue du Pr B. Lauras, 42000, Saint Etienne, France

    Hanene Louhichi & Thierry Fournel

  2. Laboratoire de Sciences des Materiaux pour l’Electronique et d’Automatique, UMR 6602 CNRS, Université Blaise Pascal, 63177 Aubiere Cedex, France

    Jean Marc Lavest

  3. Unité de Métrologie en Mécanique des Fluides et Thermiques, UR 11-17, Université de Monastir, Iben Eljazzar, 5019, Monastir, Tunisie

    Hanene Louhichi & Habib Ben Aissia

Authors
  1. Hanene Louhichi
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  2. Thierry Fournel
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  3. Jean Marc Lavest
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  4. Habib Ben Aissia
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Intel, 95052, Santa Clara, CA, USA

    Ara Nefian

  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA

    Gopi Meenakshisundaram

  8. Institute for Data Analysis and Visualization, P.O. Box

    Valerio Pascucci

  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech

    Jiri Zara

  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA

    Jose Molineros

  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany

    Holger Theisel

  12. Hewlett Packard Labs, Palo Alto, CA, USA

    Tom Malzbender

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© 2006 Springer-Verlag Berlin Heidelberg

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Louhichi, H., Fournel, T., Lavest, J.M., Aissia, H.B. (2006). Camera Self-calibration in Scheimpflug Condition for Air Flow Investigation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_89

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  • DOI: https://doi.org/10.1007/11919629_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48626-8

  • Online ISBN: 978-3-540-48627-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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