106 search results - page 8 / 22 » Feature Modelling of PCA Difference Vectors for 2D and 3D Fa... |
ICETET
2009
IEEE
13 years 6 months ago
2009
IEEE
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
IJCV
2000
13 years 8 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
BIOSIG
2007
13 years 10 months ago
2007
: 2D Face images are traditionally used in civil governmental applications. An extension from 2D to 3D images will lead to several advantages when setting up automated authenticati...