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» Components for Face Recognition
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CVPR
2004
IEEE
16 years 1 months ago
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
Qi Li, Jieping Ye, Chandra Kambhamettu
ICPR
2008
IEEE
15 years 6 months ago
Face recognition using curvelet based PCA
This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
Tanaya Mandal, Q. M. Jonathan Wu
IJCV
2006
206views more  IJCV 2006»
14 years 11 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
JCP
2008
167views more  JCP 2008»
14 years 11 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
AMC
2005
128views more  AMC 2005»
14 years 11 months ago
A new face recognition method based on SVD perturbation for single example image per person
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou