55 search results - page 7 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
108
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ICB
2007
Springer
15 years 3 months ago
2007
Springer
We present a feature-based 3D face recognition algorithm and propose a keypoint identification technique which is repeatable and identifies keypoints where shape variation is high ...
101
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ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Matching near-infrared (NIR) face images to visible light (VIS) face images offers a robust approach to face recognition with unconstrained illumination. In this paper we propose ...
IJCV
2006
14 years 11 months ago
2006
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
AUSAI
2005
Springer
15 years 5 months ago
2005
Springer
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 ...
96
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ICB
2007
Springer
15 years 1 months ago
2007
Springer
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...