Sciweavers

Share
102 search results - page 1 / 21
» Face Recognition Using a Color Subspace LDA Approach
Sort
View
ICTAI
2008
IEEE
9 years 4 months ago
Face Recognition Using a Color Subspace LDA Approach
This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition. To perform recognition of color images, we use the...
Mani Thomas, Chandra Kambhamettu, Senthil Kumar
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
9 years 2 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
9 years 4 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
9 years 4 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
IJCV
2006
206views more  IJCV 2006»
8 years 10 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
books