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» Multiple-Exemplar Discriminant Analysis for Face Recognition
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CVPR
2009
IEEE
15 years 4 months ago
Manifold Discriminant Analysis
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
Ruiping Wang, Xilin Chen
SINOBIOMETRICS
2004
Springer
15 years 3 months ago
Baseline Evaluations on the CAS-PEAL-R1 Face Database
In this paper, three baseline face recognition algorithms are evaluated on the CAS-PEAL-R1 face database which is publicly released from a large-scale Chinese face database: CAS-PE...
Bo Cao, Shiguang Shan, Xiaohua Zhang, Wen Gao
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 2 months ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
77
Voted
ICIAR
2004
Springer
15 years 3 months ago
Three-Dimensional Face Recognition: A Fishersurface Approach
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...
Thomas Heseltine, Nick Pears, Jim Austin
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
15 years 2 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...