Neutral face generator using variational autoencoders

dc.contributor.advisorMadadi, Meysam
dc.contributor.authorAcosta Hernández, Jorge
dc.date.accessioned2020-11-11T09:06:28Z
dc.date.available2020-11-11T09:06:28Z
dc.date.issued2020-09-13
dc.descriptionTreballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Meysam Madadica
dc.description.abstract[en] The aim of this project is to develop a model which is able to generate a neutral face from a sample of images of the same person with different expressions. This expressions can be gathered from a video of that person just talking frontally to the camera. For doing this we will need a model which as it is able to learn meaningful features of the frontal faces. Also this model should be capable of reconstructing faces from this learned features.ca
dc.format.extent61 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/171974
dc.language.isoengca
dc.rightsmemòria: cc-nc-nd (c) Jorge Acosta Hernández, 2020
dc.rightscodi: GPL (c) Jorge Acosta Hernández, 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.urihttp://www.gnu.org/licenses/gpl-3.0.ca.html*
dc.sourceTreballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject.classificationAprenentatge automàticca
dc.subject.classificationXarxes neuronals (Informàtica)ca
dc.subject.classificationProgramarica
dc.subject.classificationTreballs de fi de grauca
dc.subject.classificationReconeixement facial (Informàtica)ca
dc.subject.classificationExpressió facialca
dc.subject.otherMachine learningen
dc.subject.otherNeural networks (Computer science)en
dc.subject.otherComputer softwareen
dc.subject.otherHuman face recognition (Computer science)en
dc.subject.otherFacial expressionen
dc.subject.otherBachelor's thesesen
dc.titleNeutral face generator using variational autoencodersca
dc.typeinfo:eu-repo/semantics/bachelorThesisca

Fitxers

Paquet original

Mostrant 1 - 2 de 2
Carregant...
Miniatura
Nom:
codi_font.zip
Mida:
29.38 KB
Format:
ZIP file
Descripció:
Codi font
Carregant...
Miniatura
Nom:
171974.pdf
Mida:
15 MB
Format:
Adobe Portable Document Format
Descripció:
Memòria