Eigenspectra versus eigenfaces: classification with a kernel-based nonlinear representor

Authors:
Benyong Liu;Jing Zhang
Affiliations:
School of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China;School of Electronic Engineering, University of Electronic Science and Technology, Chengdu, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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Abstract

This short paper proposes a face recognition scheme, wherein features called eigenspectra are extracted successively by the fast Fourier transform (FFT) and the principle component analysis (PCA) and classification results are obtained by a classifier called kernel-based nonlinear representor (KNR). Its effectiveness is shown by experimental results on the Olivetti Research Laboratory (ORL) face database.