413 search results - page 10 / 83 » Face recognition using mixtures of principal components |
PR
2007
13 years 7 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
PRL
2007
13 years 7 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
AVSS
2007
IEEE
14 years 2 months ago
2007
IEEE
In recent years, the use of Intelligent Closed-Circuit Television (ICCTV) for crime prevention and detection has attracted significant attention. Existing face recognition system...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...