Year: 2011
Type: conference-paper
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.
Authors: Alaa Eleyan, Kivanc Kose, A. Enis Cetin
Institutions: Mevlana University, Bilkent University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2150920289