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AUSAI
2005
Springer
15 years 6 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
2009
IEEE
16 years 7 months ago
Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences
The variations of pose lead to significant performance decline in face recognition systems, which is a bottleneck in face recognition. A key problem is how to measure the simila...
Annan Li (Chinese Academy of Sciences), Shiguang S...
134
Voted
ICIAR
2009
Springer
14 years 10 months ago
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
Syed M. S. Islam, Mohammed Bennamoun, Ajmal S. Mia...
117
Voted
CVPR
2008
IEEE
16 years 2 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
SIBGRAPI
2005
IEEE
15 years 6 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies