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Face Recognition, Overview

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Synonyms

Face Biometric; Face Identification; Face Verification

Definition

Face recognition is the science which involves the understanding of how the faces are recognized by biological systems and how this can be emulated by computer systems. Biological systems employ different types of visual sensors (i.e., eyes), which have been designed by nature to suit a certain environment where the agent lives. Similarly, computer systems employ different visual devices to capture and process faces as best indicated by each particular application. These sensors can be video cameras (e.g., a camcorder), infrared cameras, or among others, 3D scans. The essay reviews some of the most advanced computational approaches for face recognition defined till date.

Introduction

Many types of biometrics exist for identifying a person or verifying that a given individual is what he or she claims to be. Some of the biometrics result in quite reliable recognition and verification, but most are either intrusive...

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References

  1. Jain, A.K.: Technology: Biometric recognition. Nature 449, 38–40 (2007)

    Article  Google Scholar 

  2. Teoh, A.B.J., Ngo, D., Goh, A.: Personalised cryptographic key generation based on facehashing. Comput. Secur. 23(7), 606–614 (2004)

    Article  Google Scholar 

  3. Martinez, A.M.: 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)

    Article  Google Scholar 

  4. M. Yang, D.J., Kriegman, N.A.: Detecting faces in images: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 24, 34–58 (2002)

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. Gross, R., Matthews, I., Baker, S.: Appearance-based face recognition and lightfields. IEEE Trans. Pattern Anal. Mach. Intell. 26(4), 449–465 (2004)

    Article  Google Scholar 

  7. Cootes, T., Edwards, G., Taylor, C.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681–685 (2001)

    Article  Google Scholar 

  8. Ding, L., Martinez, A.: Precise detailed detection of faces and facial features. In: Proceedings of IEEE Computer Vision and Pattern Recognition, Anchorage, AK, 23 June 2008

    Google Scholar 

  9. Sirovich, L., Kirby, M.: A lowdimensional procedure for the characterization of human faces. J. Opt. Soc. Am. A 4(3), 519–524 (1986)

    Article  Google Scholar 

  10. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosci. 3(1), 71–86 (1991)

    Article  Google Scholar 

  11. Neth, D., Martinez, A.M.: Emotion perception in emotionless face images suggests a normbased representation. J. Vis. 9(1), 1–11 (2009)

    Article  Google Scholar 

  12. Zebrowitz, L.A.: Reading faces: window to the soul? Westview Press, Boulder, CO (1997)

    Google Scholar 

  13. Chang, K.I., Bowyer, K.W., Flynn, P.J.: An evaluation of multimodal 2d + 3d face biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 27(4), 619–624 (2005)

    Article  Google Scholar 

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© 2009 Springer Science+Business Media, LLC

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Martinez, A.M. (2009). Face Recognition, Overview. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_84

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