New face representation using Compressive Sensing

Abstract

In this paper we present a new descriptor for representing face images. We used compressive sensing concept to prepare a Gaussian Random or Binary Random Measurement Matrix (GRMM). We simply project the face images to new space using GRMM. Classification is then performed using nearest neighbor classifiers. System performance is very promising and comparable with the well-known algorithms in the literature.