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
miniatura
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Este elemento está sujeto a una licencia Licencia Creative Commons Creative Commons