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» Using Component Features for Face Recognition
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110
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JMM2
2007
127views more  JMM2 2007»
15 years 2 months ago
Robust Face Recognition through Local Graph Matching
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
Ehsan Fazl Ersi, John S. Zelek, John K. Tsotsos
124
Voted
WACV
2008
IEEE
15 years 9 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince
155
Voted
ISNN
2009
Springer
15 years 9 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
JMLR
2006
104views more  JMLR 2006»
15 years 2 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
121
Voted
JMM2
2006
141views more  JMM2 2006»
15 years 2 months ago
Optimal Weighting of Landmarks for Face Recognition
A new method named Landmark Model Matching was recently proposed for fully automatic face recognition. It was inspired by Elastic Bunch Graph Matching and Active Shape Model. Landm...
Rajinda Senaratne, Saman K. Halgamuge