This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The FERET Evaluation Methodology for Face-Recognition Algorithms
October 2000 (vol. 22 no. 10)
pp. 1090-1104

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. To date, 14,126 images from 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to 1) assess the state of the art, 2) identify future areas of research, and 3) measure algorithm performance.

[1] K. Etemad and R. Chellappa, “Discriminant Analysis for Recognition of Human Face Images,” J. Optical Soc. Am. A, vol. 14, pp. 1,724-1,733, Aug. 1997.
[2] R.M. McCabe, “Best Practice Recommendation for the Capture of Mugshots Version,” 1997. 2.0.http://www.nist.gov/itl/div894/894.03/ faceface.html.
[3] B. Moghaddam, C. Nastar, and A. Pentland, “Bayesian Face Recognition Using Deformable Intensity Surfaces,” Proc. Computer Vision and Pattern Recognition '96, pp. 638-645, 1996.
[4] B. Moghaddam and A. Pentland, “Probabilistic Visual Learning for Object Representation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696-710, July 1997.
[5] H. Moon and P.J. Phillips, “Analysis of PCA-Based Face Recognition Algorithms,” Empirical Evaluation Techniques in Computer Vision, K.W. Bowyer and P.J. Phillips, eds., pp. 57-71, Los Alamitos, Calif.: IEEE CS Press, 1998.
[6] P.J. Phillips and P. Rauss, “The Face Recognition Technology (FERET) Program,” Proc. Office of Nat'l Drug Control Policy, CTAC Int'l Technology Symp., pp. 8-11, Aug. 1997.
[7] P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, “The FERET Database and Evaluation Procedure for Face-Recognition Algorithms,” Image and Vision Computing J., vol. 16, no. 5, pp. 295-306, 1998.
[8] P. Rauss, P.J. Phillips, A.T. DePersia, and M. Hamilton, “The FERET (Face Recognition Technology) Program,” Surveillance and Assessment Technology for Law Enforcement, SPIE, vol. 2,935, pp. 2-11, 1996.
[9] S. Rizvi, P.J. Phillips, and H. Moon, “The FERET Verification Testing Protocol for Face Recognition Algorithms,” Technical Report NISTIR 6,281, Nat'l Inst. Standards and Tech nology, http://www.nist.gov/itl/div894/894.03pubs.html#face . 1998.
[10] S. Rizvi, P.J. Phillips, and H. Moon, “The FERET Verification Testing Protocol for Face Recognition Algorithms,” Image and Vision Computing J., to appear.
[11] D.L. Swets and J. Weng, Using Discriminant Eigenfeatures for Image Retrieval IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 8, pp. 831-836, Aug. 1996.
[12] M. Turk and A. Pentland, “Eigenfaces for Recognition,” J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991.
[13] J. Wilder, “Face Recognition Using Transform Coding of Grayscale Projection Projections and the Neural Tree Network,” Artifical Neural Networks with Applications in Speech and Vision, R.J. Mammone, ed., pp. 520-536, Chapman Hall, 1994.
[14] L. Wiskott, J.M. Fellous, N. Kruger, and C. von der Malsburg, Face Recognition by Elastic Bunch Graph Matching IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775-779, July 1997.
[15] W. Zhao, R. Chellappa, and A. Krishnaswamy, “Discriminant Analysis of Principal Components for Face Recognition,” Proc. Third Int'l Conf. Automatic Face and Gesture Recognition, pp. 336-341, 1998.
[16] W. Zhao, A. Krishnaswamy, R. Chellappa, D. Swets, and J. Weng, “Discriminant Analysis of Principal Components for Face Recognition,” Face Recognition: From Theory to Applications, H. Wechsler, P.J. Phillips, V. Bruce, F.F. Soulie, and T.S. Huang, eds., pp. 73-85, Berlin: Springer-Verlag, 1998.

Index Terms:
Face recognition, algorithm evaluation, FERET database.
Citation:
P. Jonathon Phillips, Hyeonjoon Moon, Syed A. Rizvi, Patrick J. Rauss, "The FERET Evaluation Methodology for Face-Recognition Algorithms," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 10, pp. 1090-1104, Oct. 2000, doi:10.1109/34.879790
Usage of this product signifies your acceptance of the Terms of Use.