Skip to main content

One-shot 3D-shape and texture acquisition of facial data

  • Systems and Applications
  • Conference paper
  • First Online:
Audio- and Video-based Biometric Person Authentication (AVBPA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1206))

Abstract

In this paper we present new methods to simultaneously extract and exploit the three-dimensional shape of a face and its surface texture. It is based on an active technique, i.e. special illumination, but in contrast to traditional active sensing does not require scanning or sequential projection of multiple patterns. This one-shot nature of the devise allows to capture moving objects, e.g. for making a 3D reconstruction of a face even when the person is talking. The use of the system is illustrated using simple methods to extract both textural and geometrical features from faces, that can be used for authentication purposes. The advantage of using 3D data is that both types of features can be made more invariant under changes in head pose or illumination conditions.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Blake, R. Curwen, and A. Zisserman, A Framework for Sptio-Temporal Control in the Tracking of Visual Contours, Int. J. Comp. Vision, Vol 11.2, pp. 127–145, 1993.

    Google Scholar 

  2. M. Kass, A. Witkin, and D. Terzopoulos, Snakes: active contour models, Int. J. Comp. Vision, pp. 321–331, 1988.

    Google Scholar 

  3. R. Kaucic, B. Dalton, and A. Blake, Real-time Lip Tracking for Audio-Visual Speech Recognition Applications, Proc. ECCV, Vol II, pp. 376–387, 1996.

    Google Scholar 

  4. A. Lanitis, N.A. Thacker, and S.W. Beet, A Unified Approach to Coding and Interpreting Face Images, Proc. ICCV, 1995.

    Google Scholar 

  5. M.A. Turk and A.P. Pentland, Face Recognition Using Eigenfaces, Proc. CVPR, pp. 586–591, 1991.

    Google Scholar 

  6. M. Proesmans, L. Van Gool and A. Oosterlinck, One-shot active range acquisition, Proc. Internat. Conf. Pattern Recognition, Vienna, Vol. C, pp. 336–340, 1996

    Google Scholar 

  7. M. Proesmans, L. Van Gool and A. Oosterlinck, Active acquisition of 3D shape for moving objects Internat. Conf. Image Processing, Lausanne Sep.'96.

    Google Scholar 

  8. M. Proesmans and L. Van Gool, One-shot active 3D shape acquisition. Multisensor Fusion and Integration, to be held in Washington DC, Dec.'96.

    Google Scholar 

  9. L. Wolff, On the relative brightness of specular and diffuse reflection, Proc. CVPR, pp. 369–376, 1994.

    Google Scholar 

  10. L. Wolff, Generalizing Lambert's Law For Smooth Surfaces, Proc. ECCV, pp. 40–53, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Josef Bigün Gérard Chollet Gunilla Borgefors

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Proesmans, M., Van Gool, L. (1997). One-shot 3D-shape and texture acquisition of facial data. In: Bigün, J., Chollet, G., Borgefors, G. (eds) Audio- and Video-based Biometric Person Authentication. AVBPA 1997. Lecture Notes in Computer Science, vol 1206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0016022

Download citation

  • DOI: https://doi.org/10.1007/BFb0016022

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62660-2

  • Online ISBN: 978-3-540-68425-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics