ACQUISITION, ANNOTATION AND INTERACTIVE EXPLORATION OF STEREO IMAGES WITH VIRTUAL REALITY

Mohammed Haouach, Karim Benzeroual, Christiane Guinot, Gilles Venturini

Abstract

We present in the paper a system called Skin3D that integrates all hardware and software to extract information from 3D images of skin. It is composed of a lighting equipment and acquisition-based stereoscopic cameras, a camera calibration using genetic algorithms, virtual reality equipment to restore the images and interact in 3D with them, a set of interactive features to annotate images, annotations and share these 3D hypermedias. We present a comparative study and an application of Skin3D on faces skin.

References

  1. Alfonso, B., 2005. Featured Virtual Lab in their NetWatch section, a publication by the AAAS Vol 308 Science Magazine.
  2. Ayoub, A.F., P. Siebert, K. F. Moos, D. Wray, C. Urquhart, T. B. Niblett, 1998. A vision-based threedimensional capture system for maxillofacial assessment and surgical planning. British journal of oral & maxillofacial surgery, vol. 36, no5, 353-357
  3. Ben Amor, B., M. Ardabilian, L. Chen, 2005. 3D Face Modeling Based on Structured-light Assisted Stereo Sensor. Image Analysis and Processing Vol.3617, 842-849
  4. Bernard, A., M. Cohen, U. Christoph et MD. Lehmann, 2008. DermAtlas, Johns Hopkins University. www.dermatlas.org.
  5. Bouguet,J., 2008, Camera Calibration Toolbox for Matlab, www.vision.caltech.edu/bouguetj/calib_doc/
  6. Cerveri, P., A. Pedotti et N. A. Borghese, 2001. Combined Evolution Strategies for Dynamic Calibration of Video-Based Measurement Systems. IEEE Transactions on evolutionary computations, vol.5, No.3. 271-282
  7. Chalam, KV., P. Jain, VA. Shah, Gaurav Y. Shah, 2006. Evaluation of web-based annotation of ophthalmic images for multicentric clinical trials. Indian Journal of Ophthalmology 54, 126-129.
  8. Chambon, S., A. CROUZIL 2003. Dense matching using correlation: new measures that are robust near occlusions. British Machine Vision Conference - BMVC 2003, vol. 1, 143-152.
  9. D'Apuzzo, N., 2002. Modeling human faces with multiimage photogrammetry. Three-Dimensional Image Capture and Applications vol. 4661, 191-197.
  10. Dermnet©, 2007. Interactive Medical Media LLC. www.dermnet.com.
  11. Dipanda, A., S. Woo, F. Marzani, J.M. Bilbault, 2003. 3-D shape reconstruction in an active stereo vision system using genetic algorithms. The journal of pattern recognition society, Vol.36, 2143-2159.
  12. Hernandez Esteban, C., F. Schmitt, 2003. Silhouette and Stereo Fusion for 3D Object Modeling; Computer Vision and Image Understanding Volume 96, Issue 3, 367-392.
  13. Faugeras, O. D., and Toscani, G, 1987. Camera calibration for 3d computer vision. International Workshop on Machine Vision and Machine Intelligence, 240-247.
  14. Rohr, M., K. Schrader, 1998. Fast Optical in vivo Topometry of Human Skin (FOITS) Comparative Investigations with Laser Profilometry. SÖFW Journal 124, 52 - 59
  15. Salvi, J., J. Pagès, J. Batlle, 2004. Pattern codification strategies in structured light systems. Pattern Recognition. Vol. 37, Issue 4, 827-849
  16. Tsai, R. Y., 1987. 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, 3(4), 323-344.
  17. Zhang, Y., Q. Ji, 2001. Camera Calibration With Genetic Algorithms, IEEE International Conference on Robotics and Automation. 120-130
  18. Zhang, Z., 1998. A Flexible New Technique for Camera Calibration. Technical Report MSR-TR-98-71 of Microsoft Research.
  19. Zhu, Y., 2007. A Java program for stereo retinal image visualization. Computer Methods and Programs in Biomedicine, Vol.85, Issue 3, 214-219.
Download


Paper Citation


in Harvard Style

Haouach M., Benzeroual K., Guinot C. and Venturini G. (2009). ACQUISITION, ANNOTATION AND INTERACTIVE EXPLORATION OF STEREO IMAGES WITH VIRTUAL REALITY . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 369-374. DOI: 10.5220/0001778803690374


in Bibtex Style

@conference{healthinf09,
author={Mohammed Haouach and Karim Benzeroual and Christiane Guinot and Gilles Venturini},
title={ACQUISITION, ANNOTATION AND INTERACTIVE EXPLORATION OF STEREO IMAGES WITH VIRTUAL REALITY },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={369-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001778803690374},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - ACQUISITION, ANNOTATION AND INTERACTIVE EXPLORATION OF STEREO IMAGES WITH VIRTUAL REALITY
SN - 978-989-8111-63-0
AU - Haouach M.
AU - Benzeroual K.
AU - Guinot C.
AU - Venturini G.
PY - 2009
SP - 369
EP - 374
DO - 10.5220/0001778803690374