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» Face Recognition Using Kernel Ridge Regression
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FGR
2006
IEEE
108views Biometrics» more  FGR 2006»
13 years 11 months ago
Regression and Classification Approaches to Eye Localization in Face Images
We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
Mark Everingham, Andrew Zisserman
AMFG
2007
IEEE
328views Biometrics» more  AMFG 2007»
14 years 1 months ago
Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
Extending recognition to uncontrolled situations is a key challenge for practical face recognition systems. Finding efficient and discriminative facial appearance descriptors is c...
Xiaoyang Tan, Bill Triggs
JMM2
2008
157views more  JMM2 2008»
13 years 7 months ago
Multiresolution Feature Based Fractional Power Polynomial Kernel Fisher Discriminant Model for Face Recognition
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
Dattatray V. Jadhav, Jayant V. Kulkarni, Raghunath...
AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
WACV
2002
IEEE
14 years 12 days ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
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...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...