Making FLDA applicable to face recognition with one sample per person

Pattern Recognition

Volumn 37, Issue 7, 2004, Pages 1553-1555

  Chen, Songcan ^a   Liu, Jun ^a   Zhou, Zhi Hua ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

Face recognition; Fisher linear discriminant analysis (FLDA); One training sample per person; Pattern recognition

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION; IMAGE PROCESSING;

FISHER LINEAR DISCRIMINANT ANALYSIS (FLDA); FISHERFACE APPROACH; INTRA-CLASS SCATTER;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 2442478240     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.12.010     Document Type: Article

References (4)

1. Mclachlan G.J. Discriminant Analysis and Statistical Pattern Recognition 1992 Wiley New York
2. 2A for face recognition with one training image per person, Pattern Recognition Lett., 2004, In press.
3. Wu J. Zhou Z.-H. Face recognition with one training image per person Pattern Recognition Lett. 23 14 2002 1711-1719
4. Phillips P.J. Wechsler H. Huang J. Rauss P.J. The FERET database and evaluation procedure for face-recognition algorithms Image Vision Comput. 16 5 1998 295-306