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» A Near-infrared Image Based Face Recognition System
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AUSAI
2005
Springer
14 years 2 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
CVPR
1999
IEEE
14 years 10 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2005
IEEE
14 years 8 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...
ICPR
2006
IEEE
14 years 9 months ago
Face Set Classification using Maximally Probable Mutual Modes
In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the ...
Ognjen Arandjelovic, Roberto Cipolla
ICB
2007
Springer
112views Biometrics» more  ICB 2007»
14 years 2 months ago
Similarity Rank Correlation for Face Recognition Under Unenrolled Pose
Face recognition systems have to deal with the problem that not all variations of all persons can be enrolled. Rather, the variations of most persons must be modeled. Explicit mode...
Marco K. Müller, Alexander Heinrichs, Andreas...