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» A Landmark Paper in Face Recognition
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TSMC
2008
182views more  TSMC 2008»
13 years 8 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
DSD
2010
IEEE
190views Hardware» more  DSD 2010»
13 years 9 months ago
Hardware-Based Speed Up of Face Recognition Towards Real-Time Performance
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
I. Sajid, Sotirios G. Ziavras, M. M. Ahmed
PRL
2010
188views more  PRL 2010»
13 years 7 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
CVPR
2003
IEEE
14 years 10 months ago
Face Recognition Under Variable Lighting using Harmonic Image Exemplars
We propose a new approach for face recognition under arbitrary illumination conditions, which requires only one training image per subject (if there is no pose variation) and no 3...
Lei Zhang 0002, Dimitris Samaras
ICPR
2010
IEEE
13 years 6 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier