782 search results - page 73 / 157 » Using Component Features for Face Recognition |
146
Voted
ACCV
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
158
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PAMI
2012
13 years 5 months ago
2012
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
137
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MMM
2005
Springer
15 years 8 months ago
2005
Springer
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small ...
156
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COST
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
178
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CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...