Publication: Sistema de reconocimiento facial con Deep Learning
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2020-11-25
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2020-11-25
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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.
This document describes the Bachelor Thesis titled as Facial Recognition System with Deep Learning, carried out in the Higher Polytechnic School of the University Carlos III. Currently, there are countless computer vision applications in industry. Computer vision is a discipline that combines techniques from artificial intelligence, robotics, optics, mathematics and neurobiology, among other fields. This project focuses on the development of a facial recognition system capable of identifying human faces and classifying them based on the age range to which they belong. To do so, it relies on deep learning techniques such as convolutional neural networks, which provide very good results in image processing problems.
This document describes the Bachelor Thesis titled as Facial Recognition System with Deep Learning, carried out in the Higher Polytechnic School of the University Carlos III. Currently, there are countless computer vision applications in industry. Computer vision is a discipline that combines techniques from artificial intelligence, robotics, optics, mathematics and neurobiology, among other fields. This project focuses on the development of a facial recognition system capable of identifying human faces and classifying them based on the age range to which they belong. To do so, it relies on deep learning techniques such as convolutional neural networks, which provide very good results in image processing problems.
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Keywords
Reconocimiento facial, Visión por computador, Inteligencia artificial, Aprendizaje automático, Redes neuronales, Face recognition, Computer vision, Artificial intelligence, Machine learning, Neural networks