ICC   25427
INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION
Unidad Ejecutora - UE
capítulos de libros
Título:
A Citation k-NN Approach for Facial Expression Recognition
Autor/es:
PABLO NEGRI; MARTA MEJAIL; DANIEL ACEBEDO; FRANCISCO GÓMEZ FERNÁNDEZ; MARIA ELENA BUEMI
Libro:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Editorial:
Springer International Publishing
Referencias:
Lugar: Cham; Año: 2017; p. 1 - 9
Resumen:
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.