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» Feature Correlation Filter for Face Recognition
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ICIP
2006
IEEE
14 years 8 months ago
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. T...
Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeu...
JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
13 years 11 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
ICPR
2008
IEEE
14 years 8 months ago
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Shiguang Shan, Shufu Xie, Wen Gao, Xilin Chen
ICIAP
2003
ACM
14 years 7 months ago
A feature-based face recognition system
A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determine...
Paola Campadelli, Raffaella Lanzarotti, C. Savazzi