91 search results - page 2 / 19 » Face recognition using FLDA with single training image per p... |
FGR
2011
IEEE
12 years 8 months ago
2011
IEEE
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
PAMI
2006
13 years 5 months ago
2006
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
AMFG
2007
IEEE
13 years 11 months ago
2007
IEEE
Small sample size and severe facial variation are two challenging problems for face recognition. In this paper, we propose the SIS (Single Image Subspace) approach to address these...
CAIP
2003
Springer
13 years 10 months ago
2003
Springer
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...