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» Random Sampling for Subspace Face Recognition
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CVPR
2005
IEEE
14 years 6 months ago
Random Subspaces and Subsampling for 2-D Face Recognition
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
Nitesh V. Chawla, Kevin W. Bowyer
AMFG
2003
IEEE
151views Biometrics» more  AMFG 2003»
13 years 10 months ago
Illumination Modeling and Normalization for Face Recognition
In this paper, we present a general framework for face modeling under varying lighting conditions. First, we show that a face lighting subspace can be constructed based on three o...
Haitao Wang, Stan Z. Li, Yangsheng Wang, Weiwei Zh...
AMFG
2007
IEEE
216views Biometrics» more  AMFG 2007»
13 years 11 months ago
Single Image Subspace for Face Recognition
Small sample size and severe facial variation are two challenging problems for face recognition. In this paper, we propose the SIS (Single Image Subspace) approach to address these...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
IEEECIT
2010
IEEE
13 years 2 months ago
Face Recognition using Layered Linear Discriminant Analysis and Small Subspace
Face recognition has great demands in human recognition and recently it becomes one of the most important research areas of biometrics. In this paper, we present a novel layered fa...
Muhammad Imran Razzak, Muhammad Khurram Khan, Khal...
ICPR
2004
IEEE
14 years 6 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen