1610 search results - page 1 / 322 » New Feature Extraction Approaches for Face Recognition |
AUSAI
2005
Springer
13 years 10 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 ...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
SCIA
2009
Springer
13 years 9 months ago
2009
Springer
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
KBS
2002
13 years 4 months ago
2002
This paper presents a novel and interesting combination of wavelet techniques and eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face vec...
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We i...