3 search results - page 1 / 1 » Face image modeling by multilinear subspace analysis with mi... |
MM
2009
ACM
13 years 11 months ago
2009
ACM
The main difficulty in face image modeling is to decompose those semantic factors contributing to the formation of the face images, such as identity, illumination and pose. One p...
CAIP
2003
Springer
13 years 9 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...
PAMI
2006
13 years 4 months ago
2006
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...