Skip to main content

Restoration of Partially Occluded Shapes of Faces Using Neural Networks

  • Conference paper
Computer Recognition Systems

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

  • 1571 Accesses

Abstract

One of the major difficulties encountered in the development of face image processing algorithms, is the possible presence of occlusions that hide part of the face images to be processed. Typical examples of facial occlusions include sunglasses, beards, hats and scarves. In our work we address the problem of restoring the overall shape of faces given only the shape presentation of a small part of the face. For this purpose a novel technique which utilizes combination of Hopfield and Multi-Layer Perceptron (MLP) neural networks was used. According to the experimental results it is possible to recover with reasonable accuracy the overall shape of faces even in the case where a substantial part of the shape of a given face is not visible. The presented technique could form the basis for developing face image processing systems capable of dealing with occluded faces.

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. Ackley D, Hinton G, Sejnowski T (1985) Cognitive Science 9:147–169

    Article  Google Scholar 

  2. Draganova C, Lanitis A, Christodoulou C (2005) submitted to IEEE Trans. on Systems, Man and Cybernetics Part B

    Google Scholar 

  3. Hopfield J (1982) Proc. Nat. Acad. Sci. USA 79:2554–2558

    Article  MathSciNet  Google Scholar 

  4. Hopfield J (1984) Proc. Nat. Acad. Sci. USA 81:3088–3092

    Article  Google Scholar 

  5. Hwang B, Lee S (2002) Proc. of the 16th ICPR’02 2:366–369

    Google Scholar 

  6. Kohonen T (1989), Self-Organization and Associative Memory, 3rd Edition, Springer-Verlag, Berlin

    Google Scholar 

  7. Kurita T, Pic M, Takahashi T (2003) Proc. IEEE Conf. AVSBS, 53–58

    Google Scholar 

  8. Martinez A (2002) IEEE Trans. Pattern Anal. Machine Intell. 24:748–763

    Article  Google Scholar 

  9. Martinez A (2000) Proc. of IEEE CVPR’2000 I:712–717

    Google Scholar 

  10. Park J, Oh Y, Ahn S, Lee S (2003) AVBPA, Springer-Verlag, 2688:369–376

    Google Scholar 

  11. Rumelhart D, Hinton G, Williams R (1986) Nature 323:533–536

    Article  Google Scholar 

  12. Turk M, Pentland A (1991) Journal of Cognitive Neuroscience 3:1:71–86

    Article  Google Scholar 

  13. Zhao W, Chellappa P, Phillips P, Rosenfeld A (2003) ACM Computing Surveys 35:4:399–458

    Article  Google Scholar 

  14. FG-NET (2004) http://sting.cycollege.ac.cy/~alanitis/fgnetaging

    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

Draganova, C., Lanitis, A., Christodoulou, C. (2005). Restoration of Partially Occluded Shapes of Faces Using Neural Networks. 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_90

Download citation

  • DOI: https://doi.org/10.1007/3-540-32390-2_90

  • 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