86 search results - page 17 / 18 » Principal component analysis of image gradient orientations ... |
TNN
2008
13 years 6 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
AC
2003
Springer
13 years 10 months ago
2003
Springer
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
IJON
2008
13 years 6 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
TIFS
2008
13 years 6 months ago
2008
Performance of biometric-based recognition systems depends on various factors: database quality, image preprocessing, encoding techniques, etc. Given a biometric database and a se...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...