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» Improvement on PCA and 2DPCA Algorithms for Face Recognition
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CVPR
2006
IEEE
14 years 9 months ago
Recognize High Resolution Faces: From Macrocosm to Microcosm
Human faces manifest distinct structures and characteristics when observed in different scales. Traditional face recognition techniques mainly rely on low-resolution face images, ...
Dahua Lin, Xiaoou Tang
ICPR
2008
IEEE
14 years 1 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
ICCV
2003
IEEE
14 years 9 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...
ICIAR
2005
Springer
14 years 27 days ago
Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
Sabina Hosic, Aykut Hocanin, Hasan Demirel
ICPR
2008
IEEE
14 years 8 months ago
Multi-view face recognition by nonlinear tensor decomposition
We discuss a new multi-view face recognition method that extends a recently proposed nonlinear tensor decomposition technique. We use this technique to provide a generative face m...
Chunna Tian, Guoliang Fan, Xinbo Gao