A Citation k-NN Approach for Facial Expression Recognition

DANIEL ACEVEDO; PABLO NEGRI; MARÍA ELENA BUEMI; FRANCISCO GÓMEZ FERNANDEZ; MARTA MEJAIL

Valparaiso

Conferencia; 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017; 2017

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.