Skip to main content
SpringerLink
Log in
Book cover

Conference on Artificial Intelligence in Medicine in Europe

AIME 2009: Artificial Intelligence in Medicine pp 156–160Cite as

A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images

  • Conference paper

  • 2105 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5651))

Abstract

We present in the paper a system that integrates all hardware and software to extract information from 3D images of skin. It is composed of a lighting equipment and stereoscopic cameras, a camera calibration algorithm that uses evolutionary principles, virtual reality equipment to visualize the images and interact with them in 3D, a set of interactive features to annotate images, to create links between them and to build a 3D hypermedia. We present an experimental study and an application of our tool on faces skin.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alfonso, B.: Science Magazine, a publication by the AAAS vol. 308 featured Virtual Lab in their NetWatch section (2005)

    Google Scholar 

  2. Baeck, T., Hoffmeister, F., Schwefel, H.-P.: A Survey of Evolution Strategies. In: Proc. Fourth Int. Conf. Genetic Algorithms, pp. 2–9. Morgan Kaufmann, San Francisco (1991)

    Google Scholar 

  3. Bernard, A., Cohen, M., Christoph, U., Lehmann, M.D.: DermAtlas, Johns Hopkins University (2008), www.dermatlas.org

  4. Bouguet, J.: Camera Calibration Toolbox for Matlab, http://www.vision.caltech.edu/bouguetj/calib_doc/

  5. Chalam, K.V., Jain, P., Shah, V.A., Shah, G.Y.: Evaluation of web-based annotation of ophthalmic images for multicentric clinical trials. Indian Journal of Ophthalmology 54, 126–129 (2006)

    Article  CAS  PubMed  Google Scholar 

  6. Chambon, S., Crouzil, A.: Dense matching using correlation: new measures that are robust near occlusions. In: British Machine Vision Conference, BMVC 2003, vol. 1, pp. 143–152 (2003)

    Google Scholar 

  7. D’Apuzzo, N.: Modeling human faces with multiimage photogrammetry. In: Three-Dimensional Image Capture and Applications, vol. 4661, pp. 191–197 (2002)

    Google Scholar 

  8. Hernandez Esteban, C., Schmitt, F.: Silhouette and Stereo Fusion for 3D Object Modeling. Computer Vision and Image Understanding 96(3), 367–392 (2003)

    Article  Google Scholar 

  9. Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation, 323–344 (1987)

    Google Scholar 

  10. Zhang, Y., Ji, Q.: Camera Calibration With Genetic Algorithms. In: IEEE International Conference on Robotics and Automation, pp. 2177–2182 (2001)

    Google Scholar 

  11. Zhang, Z.: A Flexible New Technique for Camera Calibration. Technical Report MSR-TR, Microsoft Research, pp. 98–71 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Laboratory, University François-Rabelais of Tours, 64 Avenue Jean Portalis, 37200, Tours, France

    Karim Benzeroual, Mohammed Haouach, Christiane Guinot & Gilles Venturini

  2. CE.R.I.E.S., Biometrics and Epidemiology unit, 20 Rue Victor Noir, 92521, Neuilly sur Seine, France

    Karim Benzeroual, Mohammed Haouach & Christiane Guinot

Authors
  1. Karim Benzeroual
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammed Haouach
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Christiane Guinot
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gilles Venturini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Verona, Department of Computer Science, Ca’ Vignal 2, strada le Grazie 15, 37134, Verona, Italy

    Carlo Combi

  2. Department of Information Systems Engineering, Ben Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel

    Yuval Shahar

  3. Department of Medical Informatics, University of Amsterdam, Academic Medical Center, Meibergdreef 15, 1105, Amsterdam, AZ, The Netherlands

    Ameen Abu-Hanna

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Benzeroual, K., Haouach, M., Guinot, C., Venturini, G. (2009). A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images. In: Combi, C., Shahar, Y., Abu-Hanna, A. (eds) Artificial Intelligence in Medicine. AIME 2009. Lecture Notes in Computer Science(), vol 5651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02976-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02976-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02975-2

  • Online ISBN: 978-3-642-02976-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation