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» A Landmark Paper in Face Recognition
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CVPR
2005
IEEE
14 years 9 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
3DPVT
2006
IEEE
194views Visualization» more  3DPVT 2006»
14 years 1 months ago
Expression Compensation for Face Recognition Using a Polar Geodesic Representation
This paper addresses the problem of face recognition in the presence of deformation due to expressions. Facial motion is considered as an isometric mapping between surfaces, which...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....
IPCV
2008
13 years 9 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
IJISTA
2007
131views more  IJISTA 2007»
13 years 7 months ago
Face recognition based on ordinal correlation
In this paper, we propose a new face recognition system based on the ordinal correlation principle. First, we will explain the ordinal similarity measure for any two images and th...
Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Ve...
PR
2000
120views more  PR 2000»
13 years 7 months ago
On internal representations in face recognition systems
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
Maxim A. Grudin