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Real-time facial expression recognition with illumination-corrected image sequences
Cita
Li, He, Buenaposada Biencinto, José Miguel and Baumela Molina, Luis 
ORCID: https://orcid.org/0000-0001-6910-4359
(2008).
Real-time facial expression recognition with illumination-corrected image sequences.
En: "8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008. FG '08.", 17/09/2008-19/09/2008, Amsterdam, Paises Bajos. ISBN 978-1-4244-2154-1. pp..
https://doi.org/10.1109/AFGR.2008.4813328.
ORCID: https://orcid.org/0000-0001-6910-4359
(2008).
Real-time facial expression recognition with illumination-corrected image sequences.
En: "8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008. FG '08.", 17/09/2008-19/09/2008, Amsterdam, Paises Bajos. ISBN 978-1-4244-2154-1. pp..
https://doi.org/10.1109/AFGR.2008.4813328.
Descripción
| Título: | Real-time facial expression recognition with illumination-corrected image sequences |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008. FG '08. |
| Fechas del Evento: | 17/09/2008-19/09/2008 |
| Lugar del Evento: | Amsterdam, Paises Bajos |
| Título del Libro: | Proceedings of the 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008. FG '08. |
| Fecha: | 2008 |
| ISBN: | 978-1-4244-2154-1 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
We present a real-time user-independent computer vision system that processes a sequence of images of a front-facing human face and recognizes a set of facial expressions at 30fps. 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 recognize facial expressions in image sequences with large facial motion and illumination changes.
Más información
| ID de Registro: | 4830 |
|---|---|
| Identificador DC: | https://oa.upm.es/4830/ |
| Identificador OAI: | oai:oa.upm.es:4830 |
| Identificador DOI: | 10.1109/AFGR.2008.4813328 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 05 Nov 2010 11:54 |
| Ultima Modificación: | 20 Abr 2016 13:53 |
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