Random Features Applied to Face Recognition
Roberto Antonio Vazquez, Humberto Sossa · 2007
In this paper we show how a simplified version of a describing vector can be used to efficiently recognize complex objects. We describe how simplified vectors are randomly obtained from complete describing vectors and how these simplified versions can be used to recognize faces. We compare the efficiency of the proposal against PCA using several known distance classifiers with a benchmark of faces.