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» Face recognition using mixtures of principal components
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KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
FGR
2008
IEEE
202views Biometrics» more  FGR 2008»
13 years 7 months ago
Illumination transfer using homomorphic wavelet filtering and its application to light-insensitive face recognition
In this paper, we propose a novel homomorphic wavelet filtering based illumination transfer technique to change the dominant lighting of one face image (source face image) to anot...
Hu Han, Shiguang Shan, Xilin Chen, Wen Gao
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 7 days ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
CIARP
2006
Springer
13 years 9 months ago
General Pose Face Recognition Using Frontal Face Model
We present a face recognition system able to identify people from a single non-frontal image in an arbitrary pose. The key component of the system is a novel pose correction techni...
Jean-Yves Guillemaut, Josef Kittler, Mohammad Sade...
ECCV
2006
Springer
13 years 11 months ago
Spatial Segmentation of Temporal Texture Using Mixture Linear Models
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...
Lee Cooper, Jun Liu, Kun Huang