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» Recent Advances in Face Recognition
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CVPR
2007
IEEE
15 years 26 days ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
FGR
2008
IEEE
258views Biometrics» more  FGR 2008»
14 years 5 months ago
Multi-PIE
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a contro...
Ralph Gross, Iain Matthews, Jeffrey F. Cohn, Takeo...
FGR
2008
IEEE
219views Biometrics» more  FGR 2008»
14 years 5 months ago
2D-3D face matching using CCA
In recent years, 3D face recognition has obtained much attention. Using 2D face image as probe and 3D face data as gallery is an alternative method to deal with computation comple...
Weilong Yang, Dong Yi, Zhen Lei, Jitao Sang, Stan ...
AUSAI
2005
Springer
14 years 4 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
NIPS
1998
14 years 6 days ago
Facial Memory Is Kernel Density Estimation (Almost)
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
Matthew N. Dailey, Garrison W. Cottrell, Thomas A....