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» New Feature Extraction Approaches for Face Recognition
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FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
15 years 3 months ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain
ICPR
2010
IEEE
15 years 1 months ago
Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
Meng Yang, Lei Zhang, Lin Zhang, David Zhang
ICPR
2008
IEEE
15 years 3 months ago
Multilinear analysis based on image texture for face recognition
In this paper, a multilinear approach based on image texture for face recognition is present. First, we extract the texture features of the facial images using the Local Binary Pa...
Hu-chuan Lu, Hao Chen, Yen-wei Chen
ICPR
2008
IEEE
15 years 3 months ago
Face recognition using curvelet based PCA
This paper identifies a novel feature space to address the problem of human face recognition from still images. This is based on the PCA space of the features extracted by a new m...
Tanaya Mandal, Q. M. Jonathan Wu