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Reconocimiento facial basado en redes neuronales convolucionales

Authors: Jiménez Silva, Ildefonso;

Reconocimiento facial basado en redes neuronales convolucionales

Abstract

El reconocimiento facial representa un importante campo de estudio en la actualidad debido a la variedad de aplicaciones para las que puede ser empleado, que van desde la mejora de la seguridad o aplicaciones industriales hasta utilidades en dispositivos personales. Por otro lado, las redes neuronales han experimentado en los últimos años un incremento de su uso en todo tipo de sectores gracias a su adaptación a diferentes problemas. En este proyecto se pretende hacer un estudio de algunos de los algoritmos que usan los sistemas de reconocimiento facial y, posteriormente, implementar un sistema que aúne este área con la de las redes neuronales, donde estas sean de utilidad en algunas fases que componen todo el proceso, así como realizar una evaluación de los resultados.

Facial recognition is currently an important field of study due to the variety its applications. They can be applied to security systems, industrial purposes or even in mobile applications. On the other hand, the use of neural networks has increased in several areas in the last years thanks to their adjustment capacity to different issues. This project intends to study some of the algorithms used by facial recognition systems and, in addition, to implement a system that combines some methods from this area with some neural networks and evaluate the results.

Universidad de Sevilla. Grado en Ingeniería de las Tecnologías de Telecomunicación

Country
Spain
Related Organizations
Keywords

Convolucionales, Neuronales, Facial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green