A citation k-NN approach for facial expression 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 propose a descriptor based on areas and angles of triangles formed by the landmarks from face images. We test this descriptors for f...

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Guardado en:
Detalles Bibliográficos
Publicado: 2018
Materias:
Nearest neighbor search
Pattern recognition
Facial expression recognition
Facial Expressions
Human emotion
K-nearest neighbors classifiers
Non-verbal human
Sets of features
State-of-the-art techniques
Training example
Face recognition
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v10657LNCS_n_p1_Acevedo
http://hdl.handle.net/20.500.12110/paper_03029743_v10657LNCS_n_p1_Acevedo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_03029743_v10657LNCS_n_p1_Acevedo
record_format dspace
spelling paper:paper_03029743_v10657LNCS_n_p1_Acevedo2023-06-08T15:28:15Z A citation k-NN approach for facial expression recognition Nearest neighbor search Pattern recognition Facial expression recognition Facial Expressions Human emotion K-nearest neighbors classifiers Non-verbal human Sets of features State-of-the-art techniques Training example 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 propose a descriptor based on areas and angles of triangles formed by the landmarks from face images. We test this descriptors for facial expression recognition by means of an adaptation of the k-Nearest Neighbors classifier called Citation-kNN in which the training examples come in the form of sets of feature vectors. Comparisons with other state-of-the-art techniques on the CK+ dataset are shown. The descriptor remains robust and precise in the recognition of expressions. © Springer International Publishing AG, part of Springer Nature 2018. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v10657LNCS_n_p1_Acevedo http://hdl.handle.net/20.500.12110/paper_03029743_v10657LNCS_n_p1_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 Nearest neighbor search
Pattern recognition
Facial expression recognition
Facial Expressions
Human emotion
K-nearest neighbors classifiers
Non-verbal human
Sets of features
State-of-the-art techniques
Training example
Face recognition
spellingShingle Nearest neighbor search
Pattern recognition
Facial expression recognition
Facial Expressions
Human emotion
K-nearest neighbors classifiers
Non-verbal human
Sets of features
State-of-the-art techniques
Training example
Face recognition
A citation k-NN approach for facial expression recognition
topic_facet Nearest neighbor search
Pattern recognition
Facial expression recognition
Facial Expressions
Human emotion
K-nearest neighbors classifiers
Non-verbal human
Sets of features
State-of-the-art techniques
Training example
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 propose a descriptor based on areas and angles of triangles formed by the landmarks from face images. We test this descriptors for facial expression recognition by means of an adaptation of the k-Nearest Neighbors classifier called Citation-kNN in which the training examples come in the form of sets of feature vectors. Comparisons with other state-of-the-art techniques on the CK+ dataset are shown. The descriptor remains robust and precise in the recognition of expressions. © Springer International Publishing AG, part of Springer Nature 2018.
title A citation k-NN approach for facial expression recognition
title_short A citation k-NN approach for facial expression recognition
title_full A citation k-NN approach for facial expression recognition
title_fullStr A citation k-NN approach for facial expression recognition
title_full_unstemmed A citation k-NN approach for facial expression recognition
title_sort citation k-nn approach for facial expression recognition
publishDate 2018
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v10657LNCS_n_p1_Acevedo
http://hdl.handle.net/20.500.12110/paper_03029743_v10657LNCS_n_p1_Acevedo
_version_ 1768544912138043392

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