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 analyze two approaches for expression recognition. One of them is a staticbased appearance method. In this approach, a binary-based descriptor, denominated Oriented Fast and Rotated BRIEF (ORB), is used on a single frame of a sequence of images to extract texture information, and classified with a Support Vector Machine. The other is a dynamic approach introducing a new simple descriptor based on the angles formed by the landmarks to capture the dynamic of the gesture on an image sequence. In this case the recognition is performed by a Conditional Random Field (CRF) classifier. The paper compares both methodologies, analyze their similarities and differences.
Registro:
| Documento: |
Conferencia
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| Título: | Facial expression recognition: A comparison between static and dynamic approaches |
| Autor: | Iglesias, F.; Negri, P.; Buemi, M.E.; Acevedo, D.; Mejail, M. |
| Filiación: | Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina
CONICET, Godoy Cruz, Buenos Aires, 2290, Argentina
Universidad Argentina de la Empresa (UADE), Buenos Aires, Argentina
|
| Palabras clave: | Conditional random field; Facial expressions classification; ORB descriptor; Pattern recognition; Pattern recognition systems; Random processes; Conditional random field; Descriptors; Expression recognition; Facial expression recognition; Facial expressions classifications; Oriented fast and rotated brief (ORB); Static and dynamic approach; Texture information; Face recognition |
| Año: | 2016
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| Volumen: | 2016
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| Número: | 2
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| Título revista: | International Conference on Pattern Recognition Systems, ICPRS 2016
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| Título revista abreviado: | IET Semin Dig
|
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS16339_v2016_n2_p_Iglesias |
Referencias:
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- Cootes, T., Edwards, G., Taylor, C., Active appearance models (2001) IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (6), pp. 681-685
- Dalgleish, T., Power, M.J., (1999) Handbook of Cognition and Emotion, , Wiley, New York
- Jain, S., Hu, C., Aggarwal, J.K., Facial expression recognition with temporal modeling of shapes (2011) IEEE International Conference on Computer Vision Workshops, pp. 1642-1649. , Nov
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- Sutton, C., McCallum, A., (2010) An Introduction to Conditional Random Fields, , http://arxiv.org/abs/1011.4088, ArXiv e-prints November
- Vainstein, J., Manera, J., Negri, P., Delrieux, C., Maguitman, A., Modeling video activity with dynamic phrases and its application to action recognition in tennis videos (2014) Iberoamerican Congress on Pattern Recognition (CIARP), 8827, pp. 909-916
- Zhao, G., Pietikäinen, M., Dynamic texture recognition using local binary patterns with an application to facial expressions (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (6), pp. 915-928. , JuneA4 -
Citas:
---------- APA ----------
Iglesias, F., Negri, P., Buemi, M.E., Acevedo, D. & Mejail, M.
(2016)
. Facial expression recognition: A comparison between static and dynamic approaches. International Conference on Pattern Recognition Systems, ICPRS 2016, 2016(2).
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS16339_v2016_n2_p_Iglesias [ ]
---------- CHICAGO ----------
Iglesias, F., Negri, P., Buemi, M.E., Acevedo, D., Mejail, M.
"Facial expression recognition: A comparison between static and dynamic approaches"
. International Conference on Pattern Recognition Systems, ICPRS 2016 2016, no. 2
(2016).
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS16339_v2016_n2_p_Iglesias [ ]
---------- MLA ----------
Iglesias, F., Negri, P., Buemi, M.E., Acevedo, D., Mejail, M.
"Facial expression recognition: A comparison between static and dynamic approaches"
. International Conference on Pattern Recognition Systems, ICPRS 2016, vol. 2016, no. 2, 2016.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS16339_v2016_n2_p_Iglesias [ ]
---------- VANCOUVER ----------
Iglesias, F., Negri, P., Buemi, M.E., Acevedo, D., Mejail, M. Facial expression recognition: A comparison between static and dynamic approaches. IET Semin Dig. 2016;2016(2).
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS16339_v2016_n2_p_Iglesias [ ]
