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» Face Recognition Using Sift Features
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PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
ICPR
2010
IEEE
15 years 2 months ago
Face Recognition Using a Multi-Manifold Discriminant Analysis Method
—In this paper, we propose a Multi-Manifold Discriminant Analysis (MMDA) method for face feature extraction and face recognition, which is based on graph embedded learning and un...
Wankou Yang, Changyin Sun, Lei Zhang
MVA
2000
157views Computer Vision» more  MVA 2000»
14 years 11 months ago
Performance Analysis of Gabor Responses in Face Recognition
In this paper, we investigate the behavior of Gabor responses at automatically located facial feature points for face recognition. In our approach, a set of feature points on the ...
Menaka Rajapakse, Yan Guo
ACCV
2010
Springer
14 years 4 months ago
Face Recognition with Decision Tree-Based Local Binary Patterns
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
Daniel Maturana, Domingo Mery, Alvaro Soto
AHS
2006
IEEE
175views Hardware» more  AHS 2006»
14 years 11 months ago
Face Recognition Using a Gabor Filter Bank Approach
Face recognition is a challenging field of research not only because of the complexity of this subject, but also because of its numerous practical applications. Much progress has ...
Walid Riad Boukabou, Lahouari Ghouti, Ahmed Bourid...