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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2022
License: CC BY NC ND
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Sistema de reconocimiento facial con Deep Learning

Authors: González Lozano, Rubén;

Sistema de reconocimiento facial con Deep Learning

Abstract

El presente documento describe el Trabajo de Fin de Grado con título Sistema de Reconocimiento Facial con Deep Learning, llevado a cabo en la Escuela Politécnica Superior de la Universidad Carlos III de Madrid. En la actualidad existen en la industria infinidad de aplicaciones prácticas de la visión por computador, una disciplina que combina técnicas de inteligencia artificial, robótica, óptica, matemáticas y neurobiología, entre otros campos. Este proyecto se centra en el desarrollo de un sistema de reconocimiento facial capaz de identificar rostros humanos y clasificarlos en función del rango de edad al que pertenecen. Para ello, se apoya en técnicas de deep learning como son las redes de neuronas convolucionales, que aportan muy buenos resultados en problemas de procesamiento de imágenes.

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Spain
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Keywords

Informática, Artificial intelligence, Machine learning, Computer vision, Redes neuronales, Visión por computador, Face recognition, Reconocimiento facial, Inteligencia artificial, Aprendizaje automático, Neural networks

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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