Skip to main content

Application of Active Shapes to the Structural Face Model

  • Conference paper
Computer Recognition Systems

Part of the book series: Advances in Soft Computing ((AINSC,volume 30))

  • 1559 Accesses

Abstract

In the article, the system for fitting the face-shape model to the image is described. Two model fitting approaches have been used: ACM and ASM. ACM has been applied in order to create a face-contours base of models. Starting with that base, an ASM model has been computed, which then has been used to obtain the face-shape descriptions from the provided images. ASM gives the explicit and structured shape description from the source image. Implementation of the ASM-based recognition system has been described and its performance evaluated. Some conclusions related to the choice of the local support are given, based on the experimental validation of the ASM method.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. A. Blake and M. Isard. Active Contours. Springer-Verlag, 1998.

    Google Scholar 

  2. T.F. Cootes and C.J. Taylor. Statistical models of appearance for computer vision. Technical report, Imaging Science and Biomedical Engineering, University of Manchester, October 2001.

    Google Scholar 

  3. D.A. Forsyth and J. Ponce. Computer Vision: A Modern Approach. Prentice Hall, August 2002.

    Google Scholar 

  4. HumanScan. www.bioid.com.

    Google Scholar 

  5. P. Kiciak. Basis of curves and surfaces modelling. WNT, 2000 (in Polish).

    Google Scholar 

  6. M. Krol. Face recognition with use of deformable contour models. Master’s thesis, Poznan University of Technology, Institute of Control and Information Engineering, 2004 (in Polish).

    Google Scholar 

  7. K.F. Lai. Deformable Contours: modeling, extraction, detection and classification. PhD thesis, University of Wisconsin-Madison, 1994.

    Google Scholar 

  8. D. Terzopoulos M. Kass, A. Witkin. Snake: Active contour models. International Conference on Computer Vision, pages 259–268, June 1987.

    Google Scholar 

  9. D.G. Stork R. O. Duda, P. E. Hart. Pattern Classification. A Wiley-Interscience Publication, 2002.

    Google Scholar 

  10. A. Psarrou S. Gong, S. McKenna. Dynamic Vision: From Images to Face Recognition. Imperial College Press, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kasinski, A., Krol, M. (2005). Application of Active Shapes to the Structural Face Model. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_92

Download citation

  • DOI: https://doi.org/10.1007/3-540-32390-2_92

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25054-8

  • Online ISBN: 978-3-540-32390-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics