10 search results - page 1 / 2 » PCA vs low resolution images in face verification |
ICIAP
2003
ACM
13 years 9 months ago
2003
ACM
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
ICVGIP
2004
13 years 5 months ago
2004
In this paper we propose an eigenimage based superresolution reconstruction technique. Eigenimages of a database of several similar low resolution images are obtained and the give...
IDEAL
2007
Springer
13 years 10 months ago
2007
Springer
We present a face verification system using Parallel Gabor Principal Component Analysis (PGPCA) and fusion of Support Vector Machines (SVM) scores. The algorithm has been tested on...
ICPR
2008
IEEE
13 years 10 months ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...