Facial expression recognition based on static and dynamic approaches

The identification of facial expressions with human emotions plays a key role in non-verbal human communication and has applications in several areas. In this work, we analyze two main approaches for expression recognition. © 2016 IEEE.

Guardado en:
Detalles Bibliográficos
Autores principales: Acevedo, Daniel G., Buemi, María Elena, Mejail, Marta Estela
Publicado: 2017
Materias:
Pattern recognition
Expression recognition
Facial expression recognition
Facial Expressions
Human emotion
Non-verbal human
Static and dynamic approach
Face recognition
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10514651_v_n_p4124_Acevedo
http://hdl.handle.net/20.500.12110/paper_10514651_v_n_p4124_Acevedo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_10514651_v_n_p4124_Acevedo
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spelling paper:paper_10514651_v_n_p4124_Acevedo2023-06-08T16:02:57Z Facial expression recognition based on static and dynamic approaches Acevedo, Daniel G. Buemi, María Elena Mejail, Marta Estela Pattern recognition Expression recognition Facial expression recognition Facial Expressions Human emotion Non-verbal human Static and dynamic approach Face recognition The identification of facial expressions with human emotions plays a key role in non-verbal human communication and has applications in several areas. In this work, we analyze two main approaches for expression recognition. © 2016 IEEE. Fil:Acevedo, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10514651_v_n_p4124_Acevedo http://hdl.handle.net/20.500.12110/paper_10514651_v_n_p4124_Acevedo
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Pattern recognition
Expression recognition
Facial expression recognition
Facial Expressions
Human emotion
Non-verbal human
Static and dynamic approach
Face recognition
spellingShingle Pattern recognition
Expression recognition
Facial expression recognition
Facial Expressions
Human emotion
Non-verbal human
Static and dynamic approach
Face recognition
Acevedo, Daniel G.
Buemi, María Elena
Mejail, Marta Estela
Facial expression recognition based on static and dynamic approaches
topic_facet Pattern recognition
Expression recognition
Facial expression recognition
Facial Expressions
Human emotion
Non-verbal human
Static and dynamic approach
Face recognition
description The identification of facial expressions with human emotions plays a key role in non-verbal human communication and has applications in several areas. In this work, we analyze two main approaches for expression recognition. © 2016 IEEE.
author Acevedo, Daniel G.
Buemi, María Elena
Mejail, Marta Estela
author_facet Acevedo, Daniel G.
Buemi, María Elena
Mejail, Marta Estela
author_sort Acevedo, Daniel G.
title Facial expression recognition based on static and dynamic approaches
title_short Facial expression recognition based on static and dynamic approaches
title_full Facial expression recognition based on static and dynamic approaches
title_fullStr Facial expression recognition based on static and dynamic approaches
title_full_unstemmed Facial expression recognition based on static and dynamic approaches
title_sort facial expression recognition based on static and dynamic approaches
publishDate 2017
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10514651_v_n_p4124_Acevedo
http://hdl.handle.net/20.500.12110/paper_10514651_v_n_p4124_Acevedo
work_keys_str_mv AT acevedodanielg facialexpressionrecognitionbasedonstaticanddynamicapproaches
AT buemimariaelena facialexpressionrecognitionbasedonstaticanddynamicapproaches
AT mejailmartaestela facialexpressionrecognitionbasedonstaticanddynamicapproaches
_version_ 1768545293979090944

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