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» Dynamic Local Feature Analysis for Face Recognition
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SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 1 days ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
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...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 7 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
FGR
2006
IEEE
159views Biometrics» more  FGR 2006»
14 years 1 months ago
A Near-infrared Image Based Face Recognition System
In this paper, we present a near infrared (NIR) image based face recognition system. Firstly, we describe a design of NIR image capture device which minimizes influence of enviro...
Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu...
ICIP
2005
IEEE
14 years 9 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ICIP
2009
IEEE
14 years 8 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...