Skip to main content

Estimating Face Direction via Facial Triangle

  • Conference paper
Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

Included in the following conference series:

Abstract

In this paper, we propose a vision-based approach to detect a face direction from a single monocular view of a face by using a facial feature called facial triangle. Specifically, the proposed method introduces formulas to detect face rotation, horizontally and vertically, using the facial triangle. Our method makes no assumption about the structure of the face and produces an accurate estimate of face direction.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Moghaddam, B.: Principal manifolds and bayesian subspaces for visual recognition. In: ICCV, pp.1131–1136 (1999)

    Google Scholar 

  2. Turk, M.A., Pentland, A.P.: Eigenfaces for recognition. J. Cognitive Neurosci. 3(1), 71–86 (1991)

    Article  Google Scholar 

  3. Liu, C., Wechsler, H.: Probabilistic reasoning models for face recognition. Proc. of Computer Vision and Pattern Recognition, 827–832 (1998)

    Google Scholar 

  4. Guo, G., Li, S., Chan, K.: Face recognition by support vector machines. In: Proc. of the International Conferences on Automatic Face and Gesture Recognitions, pp. 196–201 (2000)

    Google Scholar 

  5. Sahbi, H., Boujemaa, N.: From coarse to fine skin and face detection. In: The 8th ACM International Conference on Multimedia (2000)

    Google Scholar 

  6. Gee, A., Cipolla, R.: Determining the gaze of faces in images. Image and Vision Computing 12(10), 639–647 (1994)

    Article  Google Scholar 

  7. Minagawa, T., Saito, H., Ozawa, S.: Face-direction estimating system using stereo vision. IECON 1997, New Orleans (1997)

    Google Scholar 

  8. Ballard, P., Stockman, G.: Controlling a computer via facial aspect. IEEE Transactions on Systems, Man, and Cybernetics 25(4), 669–677 (1995)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chung, M.G., Park, J., Dong, J. (2004). Estimating Face Direction via Facial Triangle. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_107

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24844-6_107

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics