Skip to main content
SpringerLink
Log in

Face Sample Quality

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 899.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. X.F. Gao, S.Z. Li, R. Liu, P.R. Zhang, Standardization of face image sample quality, in Proceedings of Second International Conference on Biometrics (ICB), Seoul, 2007, pp. 242–251

    Google Scholar 

  2. M. Brauckmann, M. Werner, Technical report, in Proceedings of NIST Biometric Quality Workshop 2006

    Google Scholar 

  3. Y. Adini, Y. Moses, S. Ullman, Face recognition: the problem of compensating for changes in illumination direction. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 721–732 (1997)

    Google Scholar 

  4. W. Zhao, R. Chellappa, Robust Face Recognition Using Symmetric Shape-from-Shading. Technical Report, Center for Automation Research, University of Maryland (1999)

    Google Scholar 

  5. M.J. Tarr, H.H. Bulthoff, Image-based object recognition in man, monkey and machine. Cognition 67, 1–20 (1998)

    Google Scholar 

  6. W. Zhao, R. Chellappa, P.J. Phillips, A. Rosenfeld, Face recognition: a literature survey. ACM Comput. Surv. 35(4), 399–458 (2003)

    Google Scholar 

  7. S. Baker, T. Kanade, Limits on super-resolution and how to break them. IEEE Trans. Pattern Anal. Mach. Intell. 24(9), 1167–1183 (2002)

    Google Scholar 

  8. ISO/IEC JTC 1/SC 37 N 1477: Biometric Sample Quality Standard. Part 1: Framework (2006)

    Google Scholar 

  9. M. Abdel-Mottaleb, M.H. Mahoor, Application notes – algorithms for assessing the quality of facial images. IEEE Comput. Intell. Mag. 2(2), 10–17 (2007)

    Google Scholar 

  10. S. Baker, T. Kanade, Appearance characterization of linear lambertian objects, generalized photometric stereo, and illumination-invariant face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(2), 230–245 (2007)

    Google Scholar 

  11. J. Atick, P. Griffin, A. Redlich, Statistical approach to shape from shading: reconstrunction of 3-dimensional face surfaces from single 2-dimentional images. Neural Comput. 8(2), 1321–1340 (1996)

    Google Scholar 

  12. V. Blanz, T. Vetter, Face recognition based on fitting a 3-D morphable model. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1063–1074 (2003)

    Google Scholar 

  13. Y. Li, S. Gong, H. Liddell, Constructing facial identity surfaces for recognition. Int. J. Comput. Vision 53(1), 71–92 (2003)

    Google Scholar 

  14. T.F. Cootes, K. Walker, C.J. Taylor, View-based active appearance models, in Proceedings of Fourth International Conference on Automatic Face and Gesture Recognition (FG), Grenoble, 2000, pp. 227–232

    Google Scholar 

  15. B.K. Gunturk, A.U. Batur, Y. Altunbasak, M.H. Hayes, R.M. Mersereau, Eigenface-domain super-resolution for face recognition. IEEE Trans. Image Process. 12(5), 597–606 (2003)

    Google Scholar 

  16. K. Jia, S. Gong, Multi-modal tensor face for simultaneous super-resolution and recognition, in Proceedings of Tenth International Conference on Computer Vision (ICCV), Beijing, vol. 2, 2005, pp. 1683–1690

    Google Scholar 

  17. K. Jia, S. Gong, Generalised face super-resolution. IEEE Trans. Image Process. 17(6), 873–886 (2008)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shenzhen Institute of Advanced Integration Technology, CAS/CUHK, Shenzhen, People’s Republic of China

    Kui Jia

  2. Queen Mary University of London, London, UK

    Shaogang Gong

Authors
  1. Kui Jia
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shaogang Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this entry

Cite this entry

Jia, K., Gong, S. (2015). Face Sample Quality. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_86

Download citation

Publish with us

Policies and ethics

Search

Navigation