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» Feature Selection for Pose Invariant Face Recognition
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CLOR
2006
14 years 1 months ago
The Trace Model for Object Detection and Tracking
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
Sachin Gangaputra, Donald Geman
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 3 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
PR
2000
120views more  PR 2000»
13 years 9 months ago
On internal representations in face recognition systems
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
Maxim A. Grudin
MVA
2000
119views Computer Vision» more  MVA 2000»
13 years 11 months ago
Feature Ordering by Cross Validation for Face Detection
This paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ab...
Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima
ICPR
2008
IEEE
14 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock