782 search results - page 109 / 157 » Using Component Features for Face Recognition |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
TKDE
2011
13 years 3 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
AC
2003
Springer
14 years 19 days 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...
FUZZIEEE
2007
IEEE
14 years 3 months ago
2007
IEEE
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
ICVGIP
2004
13 years 10 months ago
2004
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...