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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" (2018) 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017. 10657 LNCS:1-9
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Abstract:

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.

Registro:

Documento: Artículo
Título:A citation k-NN approach for facial expression recognition
Autor: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
Filiación:Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto de Investigación en Ciencias de la Computación (ICC), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina
CONICET-Universidad Argentina de la Empresa (UADE), Buenos Aires, Argentina
Palabras clave: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
Año:2018
Volumen:10657 LNCS
Página de inicio:1
Página de fin:9
DOI: http://dx.doi.org/10.1007/978-3-319-75193-1_1
Título revista:22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v10657LNCS_n_p1_Acevedo

Referencias:

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  • Zen, G., Porzi, L., Sangineto, E., Ricci, E., Sebe, N., Learning personalized models for facial expression analysis and gesture recognition (2016) IEEE Trans. Multimed., 18, pp. 775-788
  • Lucey, P., Cohn, J., Kanade, T., Saragih, J., Ambadar, Z., Matthews, I., The CK+ Dataset: A complete dataset for action unit and emotion-specified expression (2010) CVPRW, pp. 94-101
  • Acevedo, D., Negri, P., Buemi, M.E., Mejail, M., Facial expression recognition based on static and dynamic approaches (2016) ICPR, pp. 4124-4129
  • Bottino, A., Vieira, T., Ul Islam, I., Geometric and textural cues for automatic kinship verification (2015) Int. J. Pattern Recogn., 29
  • Osman Ali, A., Age-invariant face recognition using triangle geometric features (2015) Int. J. Pattern Recogn. Artif. Intell., 29
  • Corneanu, C.A., Survey on RGB, 3D, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications (2016) IEEE Trans. Pattern Anal., 38, pp. 1548-1568
  • Ubalde, S., Gómez-Fernández, F., Goussies, N.A., Mejail, M., Skeleton-based action recognition using citation-kNN on bags of time-stamped pose descriptors (2016) ICIP, pp. 3051-3055
  • Wang, J., Zucker, J.D., Solving the multiple-instance problem: A lazy learning approach (2000) Proceedings of the 17Th International Conference on Machine Learning ICML 2000, pp. 1119-1126
  • Sanin, A., Sanderson, C., Harandi, M., Lovell, B., Spatio-temporal covariance descriptors for action and gesture recognition (2013) WACV, pp. 103-110
  • Wang, Z., Wang, S., Ji, Q., Capturing complex spatio-temporal relations among facial muscles for facial expression recognition (2013) CVPR, pp. 3422-3429
  • Chew, S.W., Lucey, P., Lucey, S., Saragih, J., Cohn, J., Sridharan, S., Personindependent facial expression detection using constrained local models (2011) FG 2011, pp. 915-920A4 - Chilean Association of Pattern Recognition; Department of Informatics; Federico Santa Maria

Citas:

---------- APA ----------
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 (2018) . A citation k-NN approach for facial expression recognition. 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, 10657 LNCS, 1-9.
http://dx.doi.org/10.1007/978-3-319-75193-1_1
---------- CHICAGO ----------
Acevedo, D., Negri, P., Buemi, M.E., Gómez Fernández, F., Mejail, M., Velastin S., et al. "A citation k-NN approach for facial expression recognition" . 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017 10657 LNCS (2018) : 1-9.
http://dx.doi.org/10.1007/978-3-319-75193-1_1
---------- MLA ----------
Acevedo, D., Negri, P., Buemi, M.E., Gómez Fernández, F., Mejail, M., Velastin S., et al. "A citation k-NN approach for facial expression recognition" . 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, vol. 10657 LNCS, 2018, pp. 1-9.
http://dx.doi.org/10.1007/978-3-319-75193-1_1
---------- VANCOUVER ----------
Acevedo, D., Negri, P., Buemi, M.E., Gómez Fernández, F., Mejail, M., Velastin S., et al. A citation k-NN approach for facial expression recognition. Lect. Notes Comput. Sci. 2018;10657 LNCS:1-9.
http://dx.doi.org/10.1007/978-3-319-75193-1_1