Subspace Classification for Face Recognition

Authors:
Raffaele Cappelli;Dario Maio;Davide Maltoni
Affiliations:
-;-;-
Venue:
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Year:
2002

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Abstract

This paper introduces a new subspace classification approach for face recognition. One or more MKL subspaces are created for each individual, starting from the feature vectors extracted through a bank of Gabor filters. The advantages of this method with respect to other well-know approaches are experimentally proved; in particular, our subspace approach effectively captures the intra-class variability, thus allowing to better discriminate between known and unknown faces.