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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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03029743_v10657LNCS_n_p1_Acevedo |
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todo:paper_03029743_v10657LNCS_n_p1_Acevedo2023-10-03T15:18:47Z A citation k-NN approach for facial expression recognition Acevedo, D. Negri, P. Buemi, M.E. Gómez Fernández, F. Mejail, M. Velastin S. Mendoza M. Chilean Association of Pattern Recognition; Department of Informatics; Federico Santa Maria 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. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 |
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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 Acevedo, D. Negri, P. Buemi, M.E. Gómez Fernández, F. Mejail, M. Velastin S. Mendoza M. Chilean Association of Pattern Recognition; Department of Informatics; Federico Santa Maria 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. |
| format |
SER |
| author |
Acevedo, D. Negri, P. Buemi, M.E. Gómez Fernández, F. Mejail, M. Velastin S. Mendoza M. Chilean Association of Pattern Recognition; Department of Informatics; Federico Santa Maria |
| author_facet |
Acevedo, D. Negri, P. Buemi, M.E. Gómez Fernández, F. Mejail, M. Velastin S. Mendoza M. Chilean Association of Pattern Recognition; Department of Informatics; Federico Santa Maria |
| author_sort |
Acevedo, D. |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_03029743_v10657LNCS_n_p1_Acevedo |
| work_keys_str_mv |
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