Facial Recognition Using Neural Networks over GPGPU
Universidad de la Republica, Facultad de Ingenieria, Montevideo, Uruguay, 11300
CLEI Electronic Journal, Volume 15, Number 3, Paper 6, 2012
@article{balarini2012facial,
title={Facial Recognition Using Neural Networks over GPGPU},
author={Balarini, J.P. and Nesmachnow, S. and Rodr{‘i}guez, M.},
journal={CLEI ELECTRONIC JOURNAL},
volume={15},
number={3},
year={2012}
}
This article introduces a parallel neural network approach implemented over Graphic Processing Units (GPU) to solve a facial recognition problem, which consists in deciding where the face of a person in a certain image is pointing. The proposed method uses the parallel capabilities of GPU in order to train and evaluate a neural network used to solve the abovementioned problem. The experimental evaluation demonstrates that a significant reduction on computing times can be obtained allowing solving large instances in reasonable time. Speedup greater than 8 is achieved when contrasted with a sequential implementation and classification rate superior to 85 % is also obtained.
November 18, 2012 by hgpu
