Skip to main content

Evaluation Methods in Face Recognition

  • Chapter
Handbook of Face Recognition

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 84.99
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.

References

  1. J. R. Beveridge, K. She, B. A. Draper, and G. H. Givens. A nonparametric statistical comparison of principal component and linear discriminant subspaces for face recognition. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 535–542, 2001.

    Google Scholar 

  2. D. Blackburn, M. Bone, and P. J. Phillips. Face recognition vendor test 2000. Technical report, http://www.frvt.org, 2001.

    Google Scholar 

  3. V. Blanz and T. Vetter. A morphable model for the synthesis of 3D faces. In Proceedings, SIGGRAPH’99, pages 187–194, 1999.

    Google Scholar 

  4. K. Etemad and R. Chellappa. Discriminant analysis for recognition of human face images. J. Opt. Soc. Am. A, 14:1724–1733, 1997.

    Article  Google Scholar 

  5. G. H. Givens, J. R. Beveridge, B. A. Draper, and D. Bolme. A statistical assessment of subject factors in the PCA recognition of human faces. In CVPR Workshop on Statistical Analysis in Computer Vision, 2003.

    Google Scholar 

  6. R. J. Micheals and T. Boult. Efficient evaluation of classification and recognition systems. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, volume 1, pages 50–57, 2001.

    Google Scholar 

  7. R. J. Micheals, P. Grother, and P. J. Phillips. The NIST HumanID evaluation framework. In J. Kittler and M. S. Nixon, editors, Third Inter. Conf. on Audio-and Video-based Biometric Person Authentication, volume LNCS 2688, pages 403–411. Springer, New York, 2003.

    Google Scholar 

  8. B. Moghaddam, C. Nastar, and A. Pentland. Bayesian face recognition using deformable intensity surfaces. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 638–645, 1996.

    Google Scholar 

  9. H. Moon and P. J. Phillips. Computational and performance aspects of PCA-based face-recognition algorithms. Perception, 30:303–321, 2001.

    Article  Google Scholar 

  10. K. Okada K. J. Steffens, T. Maurer, H. Hong, E. Elagin, H. Neven, and C. von der Malsburg. The Bochum/USC face recognition system. In H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulie, and T. S. Huang, editors, Face Recognition: From Theory to Applications. Springer-Verlag, Berlin, 1998.

    Google Scholar 

  11. P. J. Phillips, P. Grother, R. Micheals, D. Blackburn, E. Tabassi, and J. Bone. Face recognition vendor test 2002: Evaluation report. Technical Report NISTIR 6965, National Institute of Standards and Technology, 2003 (http://www.frvt.org).

    Google Scholar 

  12. P. J. Phillips, A. Martin, C. L. Wilson, and M. Przybocki. An introduction to evaluating biometric systems. Computer, 33:56–63, 2000.

    Article  Google Scholar 

  13. P. J. Phillips, H. Moon, S. Rizvi, and P. Rauss. The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. PAMI, 22:1090–1104, 2000.

    Google Scholar 

  14. P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss. The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing, 16(5):295–306, 1998.

    Article  Google Scholar 

  15. S. Rizvi, P. J. Phillips, and H. Moon. A verification protocol and statistical performance analyis for face recognition algorithms. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 833–838, 1998.

    Google Scholar 

  16. S. Sarkar, P. J. Phillips, Z. Liu, I. Robledo, P. Grother, and K. W. Bowyer. The HumanID gait challenge problem: data sets, performance, and analysis. Technical report, 2003 (http://www.gaitchallenge.org).

    Google Scholar 

  17. D. Swets and J. Weng. Using discriminant eigenfeatures for image retrieval. IEEE Trans. PAMI, 18(8):831–836, 1996.

    Google Scholar 

  18. M. Turk and A. Pentland. Eigenfaces for recognition. J. Cognitive Neuroscience, 3(1):71–86, 1991.

    Article  Google Scholar 

  19. J. Wilder. Face recognition using transform coding of gray scale projection projections and the neural tree network. In R. J. Mammone, editor, Artifical Neural Networks with Applications in Speech and Vision, pages 520–536. Chapman Hall, Lodon, 1994.

    Google Scholar 

  20. L. Wiskott, J.-M. Fellous, N. Kruger, and C. von der Malsburg. Face recognition by elasric bunch graph matching. IEEE Trans. PAMI, 17(7):775–779, 1997.

    Google Scholar 

  21. W. Zhao, R. Chellappa, and A. Krishnaswamy. Discriminant analysis of principal components for face recognition. In 3rd International Conference on Automatic Face and Gesture Recognition, pages 336–341, 1998.

    Google Scholar 

  22. W. Zhao, A. Krishnaswamy, R. Chellappa, D. Swets, and J. Weng. Discriminant analysis of principal components for face recognition. In H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulie, and T. S. Huang, editors, Face Recognition: From Theory to Applications, pages 73–85. Springer, Berlin, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer Science+Business Media, Inc.

About this chapter

Cite this chapter

Phillips, P.J., Grother, P., Micheals, R. (2005). Evaluation Methods in Face Recognition. In: Handbook of Face Recognition. Springer, New York, NY. https://doi.org/10.1007/0-387-27257-7_15

Download citation

  • DOI: https://doi.org/10.1007/0-387-27257-7_15

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-40595-7

  • Online ISBN: 978-0-387-27257-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics