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The FERET Evaluation

  • Chapter
Book cover Face Recognition

Part of the book series: NATO ASI Series ((NATO ASI F,volume 163))

Abstract

Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. The FERET database is divided into two portions. The development portion is provided to researchers for algorithm development and the sequestered portion provides a set of images not seen by the researchers to test algorithms. The set of test is the third in a sequence of FERET tests. This test was administered in September 1996 and March 1997. The Sept96 test provided a detailed assesment of the state of the art, measurement of algorithm performance on large databases, and a comparison among face recognition algorithms.

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References

  • Chellappa R., Wilson, C. L., and Sirohey, C. (1995), Human and Machine Recognition of Faces: A Survey, Proc. IEEE 83, 705–740.

    Article  Google Scholar 

  • Cherkassky, V. and Mulier, F. (1998), Learning from Data: Concepts, Theory and Methods, Wiley.

    Google Scholar 

  • Cortes, C. and Vapnik, V. (1995), Support-Vector Networks, Machine Learning, 20, 273–297.

    MATH  Google Scholar 

  • Etemad K., and Chellappa R. (1996), Discriminant Analysis for Recognition of Human Face Images, In Proceedings of ICASSP, 2148–2151.

    Google Scholar 

  • Moghaddam B., Nastar C, and Pentland A. (1996), Bayesian Face Recognition using Deformable Intensity Surfaces, In Proceedings Computer Vision and Pattern Recognition, 638–645.

    Google Scholar 

  • Moghaddam B. and Pentland A.(1997), Probabilistic Visual Learning for Object Detection, IEEE Tran. PAMI, 17(7):696–710.

    Article  Google Scholar 

  • Okada H., Steffens J., Maurer T., Hong H., Elagin E., Neven H., and Malsburg C. (1998), The Bochum/USC Face Recognition System, Face Recognition: From Theory to Applications, Springer Verlag.

    Google Scholar 

  • Osuna, E., Freund, R., Girosi, F. (1997), Training Support Vector Machines: An Application to Face Detection, In Proceedings Computer Vision and Pattern Recognition.

    Google Scholar 

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

    Article  Google Scholar 

  • Phillips P. I., Moon H., Rauss P., and Rizvi S. (1997), The FERET Evaluation Methodology for Face-Recognition Algorithms, In Proceedings Computer Vision and Pattern Recognition, 137–143.

    Google Scholar 

  • Phillips P. J. and Rauss P. (1997), The Face Recognition Technology (FERET) Program, In Proceedings 1997 ONDCP International Technology Symposium - Harnessing Technology to Support the National Drug Control Strategy.

    Google Scholar 

  • Phillips P. J., Rauss P., and Der S. (1996), FERET (Face Recognition Technology) Recognition Algorithm Development and Test Report, Technical Report ARL-TR #995, U.S. Army Research Laboratory.

    Google Scholar 

  • Phillips P. J., Wechsler, H., Huang, J., and Rauss, P. (1998), The FERET Database and Evaluation Procedure for Face Recognition Algorithms, Image and Vision Computing (to appear).

    Google Scholar 

  • Rizvi S., Phillips P.J., and Moon H. (1998), The FERET Verification Testing Protocol for Face Recognition Algorithms, The IEEE Third International Conference on Automatic Face and Gesture Recognition (to appear).

    Google Scholar 

  • Samal A. and Iyengar, P. (1992), Automatic Recognition and Analysis of Human Faces and Facial Expressions: A Survey, Pattern Recognition 25, 65–77.

    Article  Google Scholar 

  • Swets D. and Weng J. (1996), Using Discriminant Eigenfeatures for Image Retrieval, IEEE Trans. PAMI, 18(8):831–836.

    Article  Google Scholar 

  • Wilder J. (1994), Face Recognition using Transform Coding of Grayscale

    Google Scholar 

  • Projections and the Neural Tree Network, Artificial Neural Networks with applications in speech and vision, 520–536, Chapman Hall.

    Google Scholar 

  • Wiskott L., Fellous J.M., Kruger N., and Malsburg C.(1997), Face Recognition by Elastic bunch graph matching, IEEE Trans. PAMI, 17(7):775–779.

    Article  Google Scholar 

  • Zhao W., Krishnaswamy A., Chellappa R., Swets D. L., and Weng J. (1998), Discriminant Analysis of Principal Components for Face Recognition, Face Recognition: From Theory to Applications, Springer Verlag.

    Google Scholar 

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Author information

Authors and Affiliations

  1. National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA

    P. Jonathon Phillips

  2. Department of Electrical and Computer Engineering, State Unviversity of New York at Buffalo, Amherst, NY, 14260, USA

    Hyeonjoon Moon

  3. Department of Applied Sciences, College of Staten Island of City University of New York, Staten Island, NY, 10314, USA

    Syed Rizvi

  4. U.S. Army Research Laboratory, Adelphi, MD, 20783, USA

    Patrick Rauss

Authors
  1. P. Jonathon Phillips
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  2. Hyeonjoon Moon
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  3. Syed Rizvi
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  4. Patrick Rauss
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Editor information

Editors and Affiliations

  1. Department of Computer Science, George Mason University, Fairfax, VA, 22030, USA

    Harry Wechsler

  2. NIST, Building 225, Room A216, Gaithersburg, MD, 20899, USA

    P. Jonathon Phillips

  3. Department of Psychology, University of Stirling, Stirling, FK9 4LA, Scotland, UK

    Vicki Bruce

  4. Atos Ingénierie Integration, 1 Avenue Newton, BP 207, F-92142, Clamart Cedex, France

    Françoise Fogelman Soulié

  5. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL, 61801, USA

    Thomas S. Huang

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© 1998 Springer-Verlag Berlin Heidelberg

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Phillips, P.J., Moon, H., Rizvi, S., Rauss, P. (1998). The FERET Evaluation. In: Wechsler, H., Phillips, P.J., Bruce, V., Soulié, F.F., Huang, T.S. (eds) Face Recognition. NATO ASI Series, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72201-1_13

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  • DOI: https://doi.org/10.1007/978-3-642-72201-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-72203-5

  • Online ISBN: 978-3-642-72201-1

  • eBook Packages: Springer Book Archive

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