Skip to main content

Active Shape Models in Practice

  • Conference paper

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

Abstract

Active Shape Models (ASM) were proposed in the last decade of the 20th century as a versatile method of object localization and recognition. The theoretical concept on which the algorithm is based seems very attractive but the practical value of this technique still needs to be verified. The authors developed a multi-purpose object locating system containing an implementation of the ASMs and the experiments performed with the help of the system revealed serious draw-backs of the method. The discovered practical problems related to the use of the ASMs are presented in the paper.

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   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
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. Kass M., Witkin A., Terzopoulos D. (1987), Snakes: Active Contour Models. Int. J. Computer Vision, vol. 1, no. 4, pp. 321–331

    Article  Google Scholar 

  2. Yuille A. (1991), Deformable Templates for Face Recognition. J. Cognitive Neuroscience, vol. 3, no. 1 pp. 59–70

    Article  Google Scholar 

  3. Cootes T., Taylor C. (1992), Active Shape Models — “Smart Snakes”. British Mach. Vision Conf., pp. 266–275

    Google Scholar 

  4. Dudzinski J. (1999), Active Shape Models in Object Localization. MSc dissertation, Gdansk University of Technology, Gdansk (in Polish)

    Google Scholar 

  5. Glowinski D. (2004), Automatic Object Locating System. MSc dissertation, Gdansk University of Technology, Gdansk (in Polish)

    Google Scholar 

  6. Cootes T., Taylor C., Cooper D., Graham J. (1992), Training Models of Shape from Sets of Examples. British Mach. Vision Conf., pp. 9–18

    Google Scholar 

  7. Evans A., Thacker N., Mayhew J. (1993), The Use of Geometric Histograms for Model Based Object Recognition. British Mach. Vision Conf., pp. 429–438

    Google Scholar 

  8. Car Model Database, http://www.wisdom.weizmann.ac.il/~cars/

    Google Scholar 

  9. ASMTEST, http://www.eti.pg.gda.pl/katedry/kiw/software/ASM/index.html

    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

Smiatacz, M., Malina, W. (2005). Active Shape Models in Practice. 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_53

Download citation

  • DOI: https://doi.org/10.1007/3-540-32390-2_53

  • 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