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, D., Negri, P., Buemi, M.E., Mejail, M.
Formato: CONF
Materias:
Pattern recognition
Expression recognition
Facial expression recognition
Facial Expressions
Human emotion
Non-verbal human
Static and dynamic approach
Face recognition
Acceso en línea: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 todo:paper_10514651_v_n_p4124_Acevedo
record_format dspace
spelling todo:paper_10514651_v_n_p4124_Acevedo2023-10-03T16:00:30Z Facial expression recognition based on static and dynamic approaches Acevedo, D. Negri, P. Buemi, M.E. Mejail, M. 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, D.
Negri, P.
Buemi, M.E.
Mejail, M.
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.
format CONF
author Acevedo, D.
Negri, P.
Buemi, M.E.
Mejail, M.
author_facet Acevedo, D.
Negri, P.
Buemi, M.E.
Mejail, M.
author_sort Acevedo, D.
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
url http://hdl.handle.net/20.500.12110/paper_10514651_v_n_p4124_Acevedo
work_keys_str_mv AT acevedod facialexpressionrecognitionbasedonstaticanddynamicapproaches
AT negrip facialexpressionrecognitionbasedonstaticanddynamicapproaches
AT buemime facialexpressionrecognitionbasedonstaticanddynamicapproaches
AT mejailm facialexpressionrecognitionbasedonstaticanddynamicapproaches
_version_ 1782023651398254592

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