100 search results - page 11 / 20 » Two-Dimensional Bayesian Subspace Analysis for Face Recognit... |
PR
2006
14 years 11 months ago
2006
In this paper, a novel subspace method called diagonal principal component analysis (DiaPCA) is proposed for face recognition. In contrast to standard PCA, DiaPCA directly seeks t...
PAMI
2002
14 years 11 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
84
Voted
ISCAS
2006
IEEE
15 years 5 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
ICIAP
2001
Springer
15 years 11 months ago
2001
Springer
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
ECCV
2000
Springer
16 years 1 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...