106 search results - page 1 / 22 » Feature Modelling of PCA Difference Vectors for 2D and 3D Fa... |
AVSS
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
AC
2003
Springer
13 years 8 months ago
2003
Springer
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
AMFG
2005
IEEE
13 years 10 months ago
2005
IEEE
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
ICMCS
2007
IEEE
13 years 10 months ago
2007
IEEE
In this paper, we propose an original framework for representing 2D and 3D face information using geodesic distances. This aims to define a representation enabling the direct com...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
We present an automatic disparity-based approach for 3D face modeling, from two frontal and one profile view stereo images, for 3D face recognition applications. Once the images a...