Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)

Face recognition is one of the key areas in the field of pattern recognition and artificial intelligence (AI). It has been used in a wide range of applications, such as identity authentication, biometrics, and surveillance. Image data is high dimensional in the face recognition area, so requires a c...

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Detalles Bibliográficos
Autor: Almeida Arteaga, Natali
Tipo de recurso: tesis de maestría
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/108555
Acceso en línea:https://hdl.handle.net/2117/108555
Access Level:acceso abierto
Palabra clave:Robotics
Robòtica
Àrees temàtiques de la UPC::Informàtica
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spelling Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)Almeida Arteaga, NataliRoboticsRobòticaÀrees temàtiques de la UPC::InformàticaFace recognition is one of the key areas in the field of pattern recognition and artificial intelligence (AI). It has been used in a wide range of applications, such as identity authentication, biometrics, and surveillance. Image data is high dimensional in the face recognition area, so requires a considerable amount of computing resources and time for recognition. Research effort has been developed in this way, and nowadays many algorithms are available for solving this problem in Computer Vision. The main goal of this project is to improve the capabilities of the MASHI robot, endowing it for more interaction with humans, and add new functionalities with the components that the robot has. FISHERFACES, a popular technique for facial recognition is the one chosen to be implemented in our application. This work studies the mathematical fundamentals of this technique to understand how information is processed to perform face recognition. Then, some tests have been performed to check the reliability of the application with several databases of facial images. In this way, it is possible to determine the strengths and weaknesses of the algorithm to be implemented in our robot. This work introduces an implementation based on Python using the OpenCV library. The characterization of hardware and the description of software is presented. Next, results, limitations, future works, and conclusions over the job development are presented.Universitat Politècnica de CatalunyaAngulo Bahón, Cecilio20172017-09-1320172017-10-09master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfhttps://hdl.handle.net/2117/108555reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1085552026-05-27T15:37:01Z
dc.title.none.fl_str_mv Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
title Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
spellingShingle Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
Almeida Arteaga, Natali
Robotics
Robòtica
Àrees temàtiques de la UPC::Informàtica
title_short Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
title_full Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
title_fullStr Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
title_full_unstemmed Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
title_sort Facial recognition system applied to multipurpose assistance robot for social human-robot interaction (MASHI)
dc.creator.none.fl_str_mv Almeida Arteaga, Natali
author Almeida Arteaga, Natali
author_facet Almeida Arteaga, Natali
author_role author
dc.contributor.none.fl_str_mv Angulo Bahón, Cecilio
dc.subject.none.fl_str_mv Robotics
Robòtica
Àrees temàtiques de la UPC::Informàtica
topic Robotics
Robòtica
Àrees temàtiques de la UPC::Informàtica
description Face recognition is one of the key areas in the field of pattern recognition and artificial intelligence (AI). It has been used in a wide range of applications, such as identity authentication, biometrics, and surveillance. Image data is high dimensional in the face recognition area, so requires a considerable amount of computing resources and time for recognition. Research effort has been developed in this way, and nowadays many algorithms are available for solving this problem in Computer Vision. The main goal of this project is to improve the capabilities of the MASHI robot, endowing it for more interaction with humans, and add new functionalities with the components that the robot has. FISHERFACES, a popular technique for facial recognition is the one chosen to be implemented in our application. This work studies the mathematical fundamentals of this technique to understand how information is processed to perform face recognition. Then, some tests have been performed to check the reliability of the application with several databases of facial images. In this way, it is possible to determine the strengths and weaknesses of the algorithm to be implemented in our robot. This work introduces an implementation based on Python using the OpenCV library. The characterization of hardware and the description of software is presented. Next, results, limitations, future works, and conclusions over the job development are presented.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-09-13
2017
2017-10-09
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/108555
url https://hdl.handle.net/2117/108555
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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