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» Local Feature Based 3D Face Recognition
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ICB
2007
Springer
176views Biometrics» more  ICB 2007»
15 years 8 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
CVPR
2007
IEEE
15 years 10 months ago
Robust Face Alignment for Illumination and Pose Invariant Face Recognition
In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment u...
Fatih Kahraman, Binnur Kurt, Muhittin Gökmen
128
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CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...
CVPR
2010
IEEE
15 years 10 months ago
Face Recognition Based on Image Sets
We introduce a novel method for face recognition from image sets. In our setting each test and training example is a set of images of an individual’s face, not just a single ima...
Hakan Cevikalp, Bill Triggs
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
15 years 10 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao