55 search results - page 4 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
ICPR
2008
IEEE
14 years 2 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...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
FGR
2006
IEEE
13 years 11 months ago
2006
IEEE
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
NIPS
2007
13 years 9 months ago
2007
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either progr...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...