21 search results - page 4 / 5 » A Multi-linear Discriminant Analysis of 2D Frontal Face Imag... |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
WACV
2005
IEEE
13 years 11 months ago
2005
IEEE
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...