Observatorio de I+D+i UPM

Descripción
We present a real-time user-independent computer vision system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions at 30 fps. We track the face using an efficient appearance-based face tracker. We model changes in illumination with a user-independent appearance-based model. In our approach to facial expression classification, the image of a face is represented by a low dimensional vector that results from projecting the illumination corrected image onto a low dimensional expression manifold. In the experiments conducted we show that the system is able to recognise facial expressions in image sequences with large facial motion and illumination changes.
Internacional	No
DOI	10.1109/AFGR.2008.4813328
Edición del Libro	0
Editorial del Libro	IEEE
ISBN	978-1-4244-2154-1
Serie
Título del Libro	Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
Desde página	1
Hasta página	6

Esta actividad pertenece a memorias de investigación

• Autor: José Miguel Buenaposada Biencit (UPM)
• Autor: Luis Baumela Molina (UPM)

• Creador: Grupo de Investigación: Percepción Computacional y Robótica
• Departamento: Inteligencia Artificial