Skip to main content

Face Recognition, Component-Based

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Biometrics

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 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. A.M. Martinez, Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Mach. Intell. 24(6), 748–763 (2002)

    Google Scholar 

  2. P. Belhumeur, D.J. Kriegman, What is the set of images of an object under all possible illumination conditions? Int. J. Comput. Vis. 28(3), 245–260 (1998)

    Google Scholar 

  3. M. Lades, J.C. Vorbruggen, J. Buhmann, J. Lange, C. Vandermalsburg, R.P. Wurtz, W. Konen, Distortion invariant object recognition in the dynamic link architecture. IEEE Trans. Comput. 42(3), 300–311 (1993)

    Google Scholar 

  4. L. Wiskott, J.M. Fellous, N. Kruger, Face recognition by elastic bunch graph matching. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 775–779 (1997)

    Google Scholar 

  5. A.M. Martinez, Recognition of partially occluded and/or imprecisely localized faces using a probabilistic approach, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, 2000

    Google Scholar 

  6. A. Martinez, R. Benavente, The AR-face database. Technical report, CVC Technical report # 24 (1998)

    Google Scholar 

  7. Y.B. Zhang, A.M. Martinez, A weighted probabilistic approach to face recognition from multiple images and video sequences. Image Vis. Comput. 24(6), 626–638 (2006)

    Google Scholar 

  8. B.G. Park, K.M. Lee, S.U. Lee, Face recognition using Face-ARG matching. IEEE Trans. Pattern Anal. Mach. Intell. 27(12), 1982–1988 (2005)

    Google Scholar 

  9. D.D. Lee, H.S. Seung, Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788–791 (1999)

    Google Scholar 

  10. D. Guillamet, M. Bressan, J. Vitrià, Weighted non-negative matrix factorization for local representations, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, 2001, pp. 942–947

    Google Scholar 

  11. Y. Zana, R.M. Cesar, R. Feris, M. Turk, Local approach for face verification in polar frequency domain. Image Vis. Comput. 24(8), 904–913 (2006)

    Google Scholar 

  12. K. Fukunaga, Introduction to Statistical Pattern Recognition (Academic Press, New York, 1990)

    MATH  Google Scholar 

  13. P.J. Phillips, H. Wechsler, J. Huang, P. Rauss, The feret database and evaluation procedure for face recognition algorithms. Image Vis. Comput. 16(5), 295–306 (1998)

    Google Scholar 

  14. B. Heisele, T. Serre, T. Poggio, A component-based framework for face detection and identification. Int. J. Comput. Vis. 74(2), 167–181 (2007)

    Google Scholar 

  15. K.I. Chang, K.W. Bowyer, P.J. Flynn, Multiple nose region matching for 3D face recognition under varying facial expression. IEEE Trans. Pattern Anal. Mach. Intell. 28(10), 1695–1700 (2006)

    Google Scholar 

  16. S. Agarwal, A. Awan, D. Roth, Learning to detect objects in images via a sparse, part-based representation. IEEE Trans. Pattern Anal. Mach. Intell. 26(11), 1475–1490 (2004)

    Google Scholar 

  17. A.J. Carlson, C. Cumby, J. Rosen, D. Roth, The snow learning architecture. Technical report, Technical Report UIUCDCS-R-99-2101, Computer Science Department, University of Illinois at Urbana-Champaign, 1999

    Google Scholar 

  18. G. Guo, C. Dyer, Patch-based image correlation with rapid filtering, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Minneapolis, Minnesola, 2007

    Google Scholar 

  19. A.M. Martinez, Face image retrieval using hmms, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (Workshop), Ft. Collins, 1999

    Google Scholar 

  20. Y. Ke, R. Sukthankar, Pca-sift: a more distinctive representation for local image descriptors, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, 2004

    Google Scholar 

  21. J. Zou, Q. Ji, G. Nagy, A comparative study of local matching approach for face recognition. IEEE Trans. Image Process. 16(10), 2617–2628 (2007)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media New York

About this entry

Cite this entry

Hamsici, O.C., Martinez, A.M. (2015). Face Recognition, Component-Based. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_93

Download citation

Publish with us

Policies and ethics