55 search results - page 5 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
IJCV
2006
13 years 7 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper addresses the limitation of current multilinear techniques (multilinear PCA, multilinear ICA) when applied to face recognition for handling faces in unseen illumination...
CVPR
2004
IEEE
2004
IEEE
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
14 years 9 months ago
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...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
ESANN
2004
13 years 9 months ago
2004
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...