Becoming visually familiar

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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