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AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
14 years 1 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...
ISDA
2006
IEEE
14 years 1 months ago
Enhancing 3D Face Recognition By Mimics Segmentation
In this paper, we present a novel approach for face recognition and authentication based on dimensional surface matching. While most of existing methods use facial intensity image...
Boulbaba Ben Amor, Mohsen Ardabilian, Liming Chen
AUSAI
2005
Springer
14 years 29 days ago
Resampling LDA/QR and PCA+LDA for Face Recognition
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
Jun Liu, Songcan Chen
CVPR
2007
IEEE
14 years 9 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
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
14 years 1 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou