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http://hdl.handle.net/10553/15079
| Título: | Viola-Jones based detectors: how much affects the training set? | Autores/as: | Castrillón-Santana, Modesto Hernandez-Sosa, Daniel Lorenzo-Navarro, Javier |
Clasificación UNESCO: | 120304 Inteligencia artificial | Palabras clave: | Viola-Jones detectors Facial feature detection Training sets |
Fecha de publicación: | 2011 | Editor/a: | Springer | Proyectos: | Tecnicas de Visión Para la Interacción en Entornos de Interior Con Elaboración Mapas Cognitivos en Sistemas Perceptuales Heterogéneos. | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011 |
Resumen: | This paper presents a study on the facial feature detection performance achieved using the Viola-Jones framework. A set of classi- ers using two di erent focuses to gather the training samples is created and tested on four di erent datasets covering a wide range of possibili- ties. The results achieved should serve researchers to choose the classi er that better ts their demands. | URI: | http://hdl.handle.net/10553/15079 | ISBN: | 978-3-642-21256-7 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-21257-4_37 | Fuente: | Vitrià J., Sanches J.M., Hernández M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg, v. 6669 LNCS, p. 297-304 |
| Colección: | Actas de congresos |
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