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» Face recognition with one training image per person
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ICPR
2010
IEEE
13 years 11 months ago
Learning Sparse Face Features : Application to Face Verification
We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
Pierre Buyssens, Marinette Revenu
PR
2006
209views more  PR 2006»
13 years 7 months ago
Low resolution face recognition based on support vector data description
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition, we propose a new method of extending the SVDD,...
Sang-Woong Lee, Jooyoung Park, Seong-Whan Lee
FGR
2004
IEEE
323views Biometrics» more  FGR 2004»
13 years 11 months ago
Automatic 3D Reconstruction for Face Recognition
An analysis-by-synthesis framework for face recognition with variant pose, illumination and expression (PIE) is proposed in this paper. First, an efficient 2D-to-3D integrated fac...
Yuxiao Hu, Dalong Jiang, Shuicheng Yan, Lei Zhang,...
CVPR
2005
IEEE
14 years 7 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...
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
12 years 11 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...