DocumentCode :
2720295
Title :
Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image
Author :
Hwang, Wonjun ; Huang, Xiangsheng ; Noh, Kyungshik ; Kim, Junmo
Author_Institution :
Samsung Electron., South Korea
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
15
Lastpage :
22
Abstract :
We describe a face recognition framework based on Extended Curvature Gabor (ECG) Classifier Bunch. First we extend Gabor wavelet kernels into the ECG wavelet kernels by adding a spatial curvature term to the kernel and adjusting the width of the Gaussian at the kernel, which leads to extraction of numerous feature candidates from a low-resolution image. To handle them efficiently, we divide a pool of feature candidates into plural ECG wavelet coefficient sets according to different kernel parameters. For each ECG wavelet coefficient set, the boosting learning scheme selects significant features. A single ECG classifier is implemented by applying Linear Discriminant Analysis (LDA) to the selected feature, and then, to overcome the accuracy limitation of a single classifier, we propose the ECG classifier bunch that combines plural ECG classifiers by means of the proposed log-likelihood ratio-based score fusion scheme. For evaluations of the proposed method, we use Face Recognition Grand Challenge (FRGC) ver 2.0 experimental protocols and database. The proposed method shows an average of 90.67% verification rate on 2D face images under uncontrolled environmental variations.
Keywords :
face recognition; feature extraction; image classification; statistical analysis; ECG wavelet kernels; FRGC; Gabor wavelet kernels; LDA; extended curvature Gabor classifier; face recognition grand challenge ver 2.0; face recognition system; feature extraction; linear discriminant analysis; log-likelihood ratio-based score fusion scheme; low-resolution face image; plural ECG wavelet coefficient; Accuracy; Electrocardiography; Face; Face recognition; Feature extraction; Kernel; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
ISSN :
2160-7508
Print_ISBN :
978-1-4577-0529-8
Type :
conf
DOI :
10.1109/CVPRW.2011.5981697
Filename :
5981697
Link To Document :
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