Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Biometrics pp 476–485Cite as

Face Recognition, 3D-Based

  • Reference work entry
  • First Online:

  • 87 Accesses

Synonyms

3D Face Recognition

Definition

Face recognition is the procedure of recognizing an individual from their facial attributes or features and belongs to the class of biometrics recognition methods. 3D face recognition is a method of face recognition that exploits the 3D geometric information of the human face. It employs data from 3D sensors that capture information about the shape of a face. Recognition is based on matching metadata extracted from the 3D shapes of faces. In an identification scenario, the matching is one to many, in the sense that a probe is matched against all of the gallery data to find the best match above some threshold. In an authenticationscenario, the matching is one to one, in the sense that the probe is matched against the gallery entry for a claimed identity, and the claimed identity is taken to be authenticated if the quality of match exceeds some threshold. 3D face recognition has the potential to achieve better accuracy than its 2D counterpart by...

This is a preview of subscription content, 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

Learn about institutional subscriptions

References

  1. I. Kakadiaris, G. Passalis, G. Toderici, Y. Lu, N. Karambatziakis, N. Murtuza, T. Theoharis, 3D face recognition in the presence of facial expressions: an annotated deformable model approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 640–649 (2007)

    Google Scholar 

  2. L. Farkas, Anthropometry of the Head and Face (Raven, New York, 1994)

    Google Scholar 

  3. X. Gu, S. Gortler, H. Hoppe, Geometry images, in Proceedings of SIGGRAPH, San Antonio, 2002, pp. 355–361

    Google Scholar 

  4. A. Johnson, Spin-images: a representation for 3-D surface matching. Ph.D. thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, Aug 1997

    Google Scholar 

  5. P.J. Besl, N.D. McKay, A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)

    Google Scholar 

  6. D. Chetverikov, D. Svirko, D. Stepanov, P. Krsek, The trimmed iterative closest point algorithm, in Proceedings of the International Conference on Pattern Recognition, Quebec City, vol. 3, 2002, pp. 545–548

    Google Scholar 

  7. P. Siarry, G. Berthiau, F. Durbin, J. Haussy, Enhanced simulated annealing for globally minimizing functions of many-continuous variables. ACM Trans. Math. Softw. 23(2), 209–228 (1997)

    MATH  MathSciNet  Google Scholar 

  8. G. Papaioannou, E. Karabassi, T. Theoharis, Reconstruction of three-dimensional objects through matching of their parts. IEEE Trans. Pattern Anal. Mach. Intell. 24(1), 114–124 (2002)

    Google Scholar 

  9. D. Metaxas, I.A. Kakadiaris, Elastically adaptive deformable models. IEEE Trans. Pattern Anal. Mach. Intell. 24(10), 1310–1321 (2002)

    Google Scholar 

  10. C. Mandal, A dynamic framework for subdivision surfaces. Ph.D. thesis, University of Florida, 1998

    Google Scholar 

  11. C. Loop, Smooth subdivision surfaces based on triangles. M.Sc. thesis, Department of Mathematics, University of Utah, 1987

    Google Scholar 

  12. J. Portilla, E.P. Simoncelli, A parametric texture model based on joint statistic of complex wavelet coefficients. Int. J. Comput. Vis. 40, 49–71 (2000)

    MATH  Google Scholar 

  13. Z. Wang, E. Simoncelli, Translation insensitive image similarity in complex wavelet domain, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, vol. II, 2005, pp. 573–576

    Google Scholar 

  14. P.J. Phillips, P.J. Flynn, W.T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, W. Worek, Overview of the face recognition grand challenge, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005. (CVPR 2005), Gaithersburg, vol. 1, 2005, pp. 947–954

    Google Scholar 

  15. P.J. Phillips, W.T. Scruggs, A.J. O’Toole, P.J. Flynn, K.W. Bowyer, C.L. Schott, M. Sharpe, FRVT 2006 and ICE 2006 large-scale results. NISTIR 7408, Mar 2007

    Google Scholar 

  16. S. Kirkpatrick, C. Gelatt, M. Vecchi, Optimization by simulated annealing. Science 22(4598), 671–680 (1983)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, ECE and Biomedical Engineering, University of Houston, Houston, TX, USA

    Ioannis A. Kakadiaris, Georgios Passalis, George Toderici, Takis Perakis & Theoharis Theoharis

Authors
  1. Ioannis A. Kakadiaris
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Georgios Passalis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. George Toderici
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Takis Perakis
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Theoharis Theoharis
    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

Kakadiaris, I.A., Passalis, G., Toderici, G., Perakis, T., Theoharis, T. (2015). Face Recognition, 3D-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_97

Download citation

Publish with us

Policies and ethics

Search

Navigation