1008 search results - page 77 / 202 » A Landmark Paper in Face Recognition |
MICAI
2000
Springer
13 years 11 months ago
2000
Springer
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
AVSS
2006
IEEE
14 years 1 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...
AVBPA
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. In face recognition, a simple classifier such as NNk − is frequently used. For a robust system, it is common to construct the multiclass classifier by combining the out...
CAIP
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...