Facial Recognition Using Neural Networks over GPGPU

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...

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Main Authors: Juan Pablo Balarini, Sergio Nesmachnow, Martín Rodríguez
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2012-12-01
Series:CLEI Electronic Journal
Online Access:http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/137
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spelling doaj-64393444ece04ad08738ae65851fead82020-11-24T21:59:19ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002012-12-0115310.19153/cleiej.15.3.6Facial Recognition Using Neural Networks over GPGPUJuan Pablo BalariniSergio NesmachnowMartín Rodríguez 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. http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/137
collection DOAJ
language English
format Article
sources DOAJ
author Juan Pablo Balarini
Sergio Nesmachnow
Martín Rodríguez
spellingShingle Juan Pablo Balarini
Sergio Nesmachnow
Martín Rodríguez
Facial Recognition Using Neural Networks over GPGPU
CLEI Electronic Journal
author_facet Juan Pablo Balarini
Sergio Nesmachnow
Martín Rodríguez
author_sort Juan Pablo Balarini
title Facial Recognition Using Neural Networks over GPGPU
title_short Facial Recognition Using Neural Networks over GPGPU
title_full Facial Recognition Using Neural Networks over GPGPU
title_fullStr Facial Recognition Using Neural Networks over GPGPU
title_full_unstemmed Facial Recognition Using Neural Networks over GPGPU
title_sort facial recognition using neural networks over gpgpu
publisher Centro Latinoamericano de Estudios en Informática
series CLEI Electronic Journal
issn 0717-5000
publishDate 2012-12-01
description 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.
url http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/137
work_keys_str_mv AT juanpablobalarini facialrecognitionusingneuralnetworksovergpgpu
AT sergionesmachnow facialrecognitionusingneuralnetworksovergpgpu
AT martinrodriguez facialrecognitionusingneuralnetworksovergpgpu
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