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Face Recognition

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Encyclopedia of Multimedia

Definition

A face recognition system recognizes an individual by matching the input image against images of all users in a database and finding the best match.

Introduction

Face recognition has received significant attention in the last 15 years, due to the increasing number of commercial and law enforcement applications requiring reliable personal authentication (e.g. access control, surveillance of people in public places, security of transactions, mug shot matching, and human–computer interaction) and the availability of low-cost recording devices.

Despite the fact that there are more reliable biometric recognition techniques such as fingerprint and iris recognition, these techniques are intrusive and their success depends highly on user cooperation, since the user must position her eye in front of the iris scanner or put her finger in the fingerprint device. On the other hand, face recognition is non-intrusive since it is based on images recorded by a distant camera, and can be...

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References

  1. A. Jain, A. Ross, and S. Prabhakar, “An Introduction to Biometric Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1, January 2004, pp. 4–20.

    Article  Google Scholar 

  2. M.-H. Yang, D.J. Kriegman, and N. Ahuja, “Detecting Faces in Images: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, January 2002, pp. 34–58.

    Article  Google Scholar 

  3. C. Kotropoulos and I. Pitas, “Rule-based Face Detection in Frontal Views,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2537–2540, 1997.

    Google Scholar 

  4. K.C. Yow and R. Cipolla, “Feature-based Human Face Detection,” Image and Vision Computing, Vol. 15, No. 9, September 1997, pp. 713–735.

    Article  Google Scholar 

  5. S. McKenna, S. Gong, and Y. Raja, “Modeling Facial Colour and Identity with Gaussian Mixtures,” Elsevier Pattern Recognition, Vol. 31, No. 12, December 1998, pp. 1883–1892.

    Article  Google Scholar 

  6. T.F. Cootes, G.J. Edwards, and C.J. Taylor, “Active Appearance Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, June 2001, pp. 681–685.

    Article  Google Scholar 

  7. M. Turk and A. Pentland, “Eigenfaces for Recognition,” Journal of Cognitive Neuroscience, Vol. 3, No. 1, 1991, pp. 71–86.

    Article  Google Scholar 

  8. A.V. Nefian and M.H. Hayes III, “An Embedded HMM-based Approach for Face Detection and Recognition,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3553–3556, 1999.

    Google Scholar 

  9. W. Zhao, R. Chellappa, A. Rosenfeld, and P.J. Phillips, “Face Recognition: A Literature Survey,” ACM Computing Surveys, Vol. 35, No. 4, December 2003, pp. 399–459.

    Article  Google Scholar 

  10. B. Moghaddam and A. Pentland, “Probabilistic Visual Learning for Object Representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, July 1997, pp. 696–710.

    Article  Google Scholar 

  11. L. Wiskott, J.M. Fellous, and C. von der Malsburg, “Face Recognition by Elastic Bunch Graph Matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, July 1997, pp. 775–779.

    Article  Google Scholar 

  12. M. Lades, J. Vorbruggen, J. Buhmann, J. Lange, C.V.D. Malburg, and R. Wurtz, “Distortion Invariant Object Recognition in the Dynamic Link Architecture,” IEEE Transactions on Computers, Vol. 42, No. 3, March 1993, pp. 300–311.

    Article  Google Scholar 

  13. The Face Recognition Vendor Test (FRVT) Homepage, http://www.frvt.org.

  14. V. Blanz, S. Romdhami, and T. Vetter, “Face Identification Across Different Poses and Illuminations with a 3d Morphable Model,” Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pp. 192–197, 2002.

    Google Scholar 

  15. A. Pentland, B. Moghaddam, and T. Starner, “View-based and Modular Eigenspaces for Face Recognition,” Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, pp. 84–91, 1994.

    Google Scholar 

  16. S. Malassiotis and M.G. Strintzis, “Robust Face Recognition Using 2D and 3D Data: Pose and Illumination Compensation,” Elsevier Pattern Recognition, in press.

    Google Scholar 

  17. H.F. Chen, P.N. Belhumeur, and D.W. Jacobs, “In Search of Illumination Invariants,” Proceedings of International Conference on Computer Vision and Pattern Recognition, pp. 254–261, 2000.

    Google Scholar 

  18. A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, “From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 6, 2001, pp. 643–660.

    Article  Google Scholar 

  19. W. Zhao, R. Chellappa, and A. Krishnaswamy, “Discriminant Analysis of Principal Components for Face Recognition,” Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, pp. 336–341, 1998.

    Google Scholar 

  20. F. Tsalakanidou, S. Malassiotis, and M.G. Strintzis, “Face Localization and Authentication Using Color and Depth Images,” IEEE Transactions on Image Processing, Vol. 14, No. 2, February 2005, pp. 152–168.

    Article  Google Scholar 

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Tsalakanidou, F., Malassiotis, S., Strintzis, M.G. (2008). Face Recognition. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_319

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