The CSU face identification evaluation system: Its purpose, features, and structure

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2626, Issue , 2003, Pages 304-313

  Bolme, David S ^a   Beveridge, J Ross ^a   Teixeira, Marcio ^a   Draper, Bruce A ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; MONTE CARLO METHODS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; PROBES;

ALGORITHM PERFORMANCE; COMPARISON TECHNIQUES; FACE IDENTIFICATION EVALUATION SYSTEMS; FACE RECOGNITION ALGORITHMS; LINEAR DISCRIMINANT ANALYSIS; MONTE CARLO SAMPLING; PRINCIPLE COMPONENTS ANALYSIS; UNIVERSITY OF MARYLAND;

FACE RECOGNITION;

EID: 84886610644     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36592-3_29     Document Type: Conference Paper

References (10)

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2. Ross Beveridge. Evaluation of face recognition algorithms web site. http://cs.colostate.edu/evalfacerec.
3. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern Classification. John Wiley & Sons, second edition edition, 2001.
4. J. Ross Beveridge. The Geometry of LDA and PCA Classifiers Illustrated with 3D Examples. Technical Report CS-01-101, Computer Science, Colorado State University, 2001.
5. M. A. Turk and A. P. Pentland. Face Recognition Using Eigenfaces. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pages 586-591, June 1991.
6. B. Moghaddam, C. Nastar, and A. Pentland. A bayesian similarity measure for direct image matching. ICPR, B: 350-358, 1996.
7. P.J. Phillips, H.J. Moon, S.A. Rizvi, and P.J. Rauss. The FERET Evaluation Methodology for Face-Recognition Algorithms. T-PAMI, 22(10): 1090-1104, October 2000.
8. Ross J. Micheals and Terry Boult. Efficient evaluation of classification and recognition systems. In IEEE ComputerVision and Pattern Recognition 2001, page (to appear), December 2001.
9. Wendy S. Yambor. Analysis of pca-based and fisher discriminant-based image recognition algorithms. Master's thesis, Colorado State University, 2000.
10. W. Zhao, R. Chellappa, and A. Krishnaswamy. Discriminant analysis ofprincipal components for face recognition. In Wechsler, Philips, Bruce, Fogelman-Soulie, and Huang, editors, Face Recognition: From Theory to Applications, pages 73-85, 1998.