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» Multiple-Exemplar Discriminant Analysis for Face Recognition
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ICPR
2010
IEEE
14 years 9 months ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan
SIBGRAPI
2009
IEEE
15 years 4 months ago
A Multi-linear Discriminant Analysis of 2D Frontal Face Images
We have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is...
Carlos E. Thomaz, Vagner do Amaral, Gilson Antonio...
PRL
2006
180views more  PRL 2006»
14 years 9 months ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai
AVBPA
2005
Springer
326views Biometrics» more  AVBPA 2005»
14 years 11 months ago
Rank-Based Decision Fusion for 3D Shape-Based Face Recognition
In 3D face recognition systems, 3D facial shape information plays an important role. Various shape representations have been proposed in the literature. The most popular techniques...
Berk Gökberk, Albert Ali Salah, Lale Akarun
PAMI
2007
217views more  PAMI 2007»
14 years 9 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla