Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44010
| Título: | Expression detector system based on facial images | Autores/as: | Hernández-Travieso, José G. Travieso, Carlos M. Del Pozo-Baños, Marcos Alonso, Jesús B. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Soft-biometrics, Facial segmentation, Pattern recognition, Expression detection | Fecha de publicación: | 2013 | Publicación seriada: | BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing | Conferencia: | International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013 | Resumen: | This paper proposes a emotion detector, applied for facial images, based on the analysis of facial segmentation. The parameterizations have been developed on spatial and transform domains, and the classification has been done by Support Vector Machines. A public database has been used in experiments, The Radboud Faces Database (RAFD), with eight possible emotions: anger, disgust, fear, happiness, sadness, surprise, neutral and contempt. Our best approach has been reached with decision fusion, using transform domains, reaching an accurate up to 96.62%. | URI: | http://hdl.handle.net/10553/44010 | ISBN: | 9789898565365 | Fuente: | BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 411-418 |
| Colección: | Actas de congresos |
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