106 search results - page 6 / 22 » Feature Modelling of PCA Difference Vectors for 2D and 3D Fa... |
CVPR
2005
IEEE
14 years 5 months ago
2005
IEEE
A novel framework called 2D Fisher Discriminant Analysis
(2D-FDA) is proposed to deal with the Small Sample
Size (SSS) problem in conventional One-Dimensional Linear
Discriminan...
CVPR
2009
IEEE
14 years 18 days ago
2009
IEEE
In this paper we revisit the process of constructing a high resolution 3D morphable model of face shape variation. We demonstrate how the statistical tools of thin-plate splines a...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
TSMC
2010
13 years 14 days ago
2010
: This paper studies face recognition by using hyperspectral imagery in the visible light bands. The spectral measurements over the visible spectrum have different discriminatory i...
ICIP
2007
IEEE
14 years 3 days ago
2007
IEEE
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...