292 search results - page 4 / 59 » Analysis and Comparison of Eigenspace-Based Face Recognition... |
DICTA
2003
13 years 10 months ago
2003
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
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 ...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Linear discrimination analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Ba...
ICIP
2007
IEEE
14 years 20 days ago
2007
IEEE
Although 2D-based face recognition methods have made great progress in the past decades, there are also some unsolved problems such as PIE. Recently, more and more researchers hav...
FGR
2011
IEEE
13 years 9 days ago
2011
IEEE
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...