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» Two Subspace Methods to Discriminate Faces and Clutters
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CVPR
2005
IEEE
14 years 10 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
ICPR
2004
IEEE
14 years 9 months ago
Recognition of Expression Variant Faces Using Weighted Subspaces
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
Aleix M. Martínez, Yongbin Zhang
ICCV
2009
IEEE
13 years 5 months ago
On optimizing subspaces for face recognition
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Jilin Tu, Xiaoming Liu, Peter Henry Tu
TIFS
2010
143views more  TIFS 2010»
13 years 2 months ago
Face verification across age progression using discriminative methods
Face verification in the presence of age progression is an important problem that has not been widely addressed. In this paper, we study the problem by designing and evaluating dis...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 2 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....