ICC   25427
INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A Citation k-NN approach for facial expression recognition
Autor/es:
DANIEL ACEVEDO, PABLO NEGRI, MARIA ELENA BUEMI, FRANCISCO GÓMEZ FERNÁNDEZ AND MARTA MEJAIL
Lugar:
Valparaíso
Reunión:
Congreso; 22nd Iberoamerican Congress on Pattern Recognition; 2017
Institución organizadora:
IAPR Chile
Resumen:
The identification of facial expressions with human emotions playsa key role in non-verbal human communication and has applications in severalareas. In this work, we propose a descriptor based on areas and angles of trianglesformed by the landmarks from face images. We test this descriptors for facialexpression recognition by means of an adaptation of the k-Nearest Neighborsclassifier called Citation-kNN in which the training examples come in the formof sets of feature vectors. Comparisons with other state-of-the-art techniques onthe CK+ dataset are shown. The descriptor remains robust and precise in therecognition of expressions.