Experiments on lattice independent component analysis for face recognition

Authors:
Ion Marqués;Manuel Graña
Affiliations:
Computational Intelligence Group, Dept. CCIA, UPV/EHU, San Sebastian, Spain;Computational Intelligence Group, Dept. CCIA, UPV/EHU, San Sebastian, Spain
Venue:
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Year:
2011

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Abstract

In previous works we have proposed Lattice Independent Component Analysis (LICA) for a variety of image processing tasks. The first step of LICA is to identify strong lattice independent components from the data. The set of strong lattice independent vector are used for linear unmixing of the data, obtaining a vector of abundance coefficients. In this paper we propose to use the resulting abundance values as features for clasification, specifically for face recognition. We report results on two well known benchmark databases.