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» On the Dimensionality of Face Space
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CVPR
2004
IEEE
14 years 6 months ago
Dual-Space Linear Discriminant Analysis for Face Recognition
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Xiaogang Wang, Xiaoou Tang
ICB
2009
Springer
158views Biometrics» more  ICB 2009»
13 years 2 months ago
3D Face Recognition Using Joint Differential Invariants
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this paper introduces a novel approach for 3D face recognition. The proposed techniqu...
Marinella Cadoni, Manuele Bicego, Enrico Grosso
IJCAI
1997
13 years 6 months ago
Is Nonparametric Learning Practical in Very High Dimensional Spaces?
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
Gregory Z. Grudic, Peter D. Lawrence
ICPR
2008
IEEE
14 years 6 months ago
3D face recognition using sparse spherical representations
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossar...
ICCV
2003
IEEE
14 years 6 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...