86 search results - page 2 / 18 » Principal component analysis of image gradient orientations ... |
MCS
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
SINOBIOMETRICS
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
WACV
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
SCIA
2009
Springer
13 years 10 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...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...