Sciweavers

334 search results - page 1 / 67
» Diagonal principal component analysis for face recognition
Sort
View
PR
2006
115views more  PR 2006»
13 years 4 months ago
Diagonal principal component analysis for face recognition
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ICIP
2005
IEEE
13 years 10 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
CVPR
2008
IEEE
13 years 11 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...
IJON
2010
139views more  IJON 2010»
12 years 11 months ago
Multilinear principal component analysis for face recognition with fewer features
Jin Wang, Armando Barreto, Lu Wang, Yu Chen, Napht...
FGR
2011
IEEE
249views Biometrics» more  FGR 2011»
12 years 8 months ago
Principal component analysis of image gradient orientations for face recognition
Georgios Tzimiropoulos, Stefanos Zafeiriou, Maja P...