782 search results - page 76 / 157 » Using Component Features for Face Recognition |
108
Voted
ICIP
2008
IEEE
15 years 9 months ago
2008
IEEE
For an image, texture unit (TU) is a small complete unit which characterizes the local texture of a given pixel and its neighborhood. Recently, TU-based approaches have been widel...
148
Voted
CVPR
2005
IEEE
15 years 8 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
120
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PR
2008
15 years 2 months ago
2008
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
139
Voted
FGR
1998
IEEE
15 years 6 months ago
1998
IEEE
We describe a virtual mirror interface which can react to people using robust, real-time face tracking. Our display can directly combine a user's face with various graphical ...
142
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...