Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/16993
Título: | Becoming visually familiar | Autores/as: | Castrillón-Santana, M. Déniz Suárez, Oscar Lorenzo-Navarro, J. Hernandez-Sosa, D. |
Clasificación UNESCO: | 120304 Inteligencia artificial | Palabras clave: | Recognition Eigenfaces |
Fecha de publicación: | 2007 | Publicación seriada: | Proceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007 | Conferencia: | 14th International Conference on Image Analysis and Processing 14th Edition of the International Conference on Image Analysis and Processing, ICIAP 2007 |
Resumen: | Automatic face recognition has been mainly tackled by matching a new image to a set of previously computed identity models. The literature describes approximations where those identity models are based on a single sample or a set of them. However, face representation keeps being a topic of great debate in the psychology literature, with some results suggesting the use of an average image. In this paper, instead of restricting our system to a fixed and precomputed classifier, the system learns iteratively based on the experience extracted from each meeting. | URI: | http://hdl.handle.net/10553/16993 | ISBN: | 978-0-7695-2877-9 0769528775 |
DOI: | 10.1109/ICIAP.2007.4362781 | Fuente: | Proceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007 (4362781), p. 211-216 |
Colección: | Actas de congresos |
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