Skip to main content

VIDAS Analysis/Synthesis Tools for Natural-to-Virtual Face Representation

  • Conference paper
  • First Online:
  • 215 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1629))

Abstract

This paper describes the work carried on by the ACTS project VIDAS1 in the area of facial image analysis for the synthesis of 3D animated virtual faces. The proposed facial decoder is compliant to MPEG-4 standard and is capable of reproducing the characteristics of any real specific face and guaranteeing synchronisation of lip movements with speech. Evidence of the achievable performance is reported at the end of the paper by means of pictures showing the capability of the system to reshape its geometry according to the decoded MPEG-4 facial calibration parameters and its effectiveness in performing facial expressions. A variety of possible applications is proposed and discussed.

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

Buying options

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. Turk, M., Pentland, A., Eigenfaces for recognition, J. of Cognitive Science, Vol. 3, n. 1, (1991) 1–24

    Google Scholar 

  2. Moghaddam, B., Pentland, A., Maximum Likelihood detection of faces and hands, in ICCV95, (1995) 786–793

    Google Scholar 

  3. Murase, H., Nayar,, S., Visual learning and recognition of 3D objects from appearance, Int. J. Computer Vision, Vol. 14, (1995) 5–24

    Article  Google Scholar 

  4. Lanitis, A Taylor, C.J, T.F. Cootes, An unified approach to coding and interpreting face images, in ICCV95, Boston, (1995) 368–373

    Google Scholar 

  5. Salembier, P., Garrido, L., Binary partition tree as an efficient representation for filtering, segmentation and information retrieval, Proc. Int. Conf. on Image Processing, (1998)

    Google Scholar 

  6. Ahlberg, J., Escher, M., Li, H., Pardàs, M., Ström, J., Facial Feature Tracking Reference Model, VIDAS deliverable d35 (1998)

    Google Scholar 

  7. Daugman, J., High confidence visual recognition of persons by a test of statistical independence, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 15, n. 11, (1993) 1148–1161

    Article  Google Scholar 

  8. Nordgren, A., J. Scott, Model-Based Facial Feature Extraction Tech. report LiTH-ISY-EX-1926 (M.Sc Thesis), Dept. of Electrical Engineering, Linköping University, Sweden, (1998)

    Google Scholar 

  9. Rydfalk, M., CANDIDE, a parameterized face, Tech. report LiTH-ISY-I-0866, Dept. of Electrical Engineering, Linköping University, Sweden, (1987)

    Google Scholar 

  10. MPEG Video, “Text for CD 14496-2 Video”, ISO/IEC JTC1/SC29/WG11/N1902

    Google Scholar 

  11. MPEG Video and SNHC, “Study of CD 14496-2 (Visual)”, ISO/IEC JTC1/SC29/WG11/N1901

    Google Scholar 

  12. Ambrosini, L., Costa, M., Lavagetto, F., Pockaj, R., 3D Head Model Calibration based on MPEG-4 Parameters, IEEE 6th Int. Workshop on Intelligent Signal Proc. and Comm. Systems ISPACS-98 (1998) 626–630

    Google Scholar 

  13. Kalra, P., Mangili, A., Magnenat Thalmann, N., Thalmann, D., Simulation of Facial Muscle Actions Based on Rational Free Form Deformations” Proc. Eurographics (1992) 59–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lavagetto, F. (1999). VIDAS Analysis/Synthesis Tools for Natural-to-Virtual Face Representation. In: Leopold, H., García, N. (eds) Multimedia Applications, Services and Techniques — ECMAST’99. ECMAST 1999. Lecture Notes in Computer Science, vol 1629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48757-3_24

Download citation

  • DOI: https://doi.org/10.1007/3-540-48757-3_24

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66082-8

  • Online ISBN: 978-3-540-48757-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics