[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Facial Feature Extraction by Color and Texture, which is Robust in face angle

  • Conference paper
Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

  • 911 Accesses

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /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
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. K. Shigenari, F. Sakaue, T. Shakunaga (2003) Decomposition and Virtualization of Eigenface for Face Recognition under Various Lighting Conditions IEICE Trans.(D-II), vol.J86-D-II, no.7:996–1003

    Google Scholar 

  2. T. Kawano, K. Kato, K. Yamamoto(2003) “Evaluation of the Gender Presumption Capability Performance between Facial Parts” Tech. Rep. of IEICE, PRMU2003-141

    Google Scholar 

  3. H. Okii, T. Uozumi, K. Ono, Y. Fujisawa(2001) “Feature extraction for classification of breast tumor images using artificial organisms” IEICE Trans. Inf. & Syst., E84-D, no3:pp.403–414

    Google Scholar 

  4. H. Okii, T. Uozumi, K. Ono, and H. Yan(2003) “Automatic feature extraction from breast tumor images using artificial organisms” IEICE Trans. Inf. & Syst., E86-D, no5:pp.964–975

    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

Terashima, T., Okii, H. (2005). Facial Feature Extraction by Color and Texture, which is Robust in face angle. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_23

Download citation

  • DOI: https://doi.org/10.1007/3-540-32391-0_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics