782 search results - page 5 / 157 » Using Component Features for Face Recognition |
ICARCV
2008
IEEE
14 years 2 months ago
2008
IEEE
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
GLVLSI
2003
IEEE
14 years 27 days ago
2003
IEEE
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
JMM2
2008
13 years 7 months ago
2008
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
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...
IVC
2007
13 years 7 months ago
2007
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...