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180
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ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
CVPR
2007
IEEE
16 years 5 months ago
Pose and Illumination Invariant Face Recognition in Video
The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face recognition from video...
Yilei Xu, Amit K. Roy Chowdhury, Keyur Patel
136
Voted
ICPR
2004
IEEE
16 years 4 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
136
Voted
CVPR
2005
IEEE
16 years 3 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
126
Voted
AMFG
2007
IEEE
216views Biometrics» more  AMFG 2007»
15 years 9 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