Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/16988
Título: An analysis of automatic gender classification
Autores/as: Castrillón-Santana, Modesto 
Vuong, Quoc C.
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2007
Proyectos: Tecnicas Para El Robustecimiento de Procesos en Vision Artificial Para la Interaccion 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 12th Iberoamerican Congress on Pattern Recognition 
12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 
Resumen: Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have shown an influence of features which are part of the local face context, such as hair, on these tasks. However, object-centered approaches which ignore local context dominate the research in computational vision based facial analysis. In this paper, we performed an analysis to study which areas and which resolutions are diagnostic for the gender classification problem. We first demonstrate the importance of contextual features in human observers for gender classification using a psychophysical ”bubbles” technique.
URI: http://hdl.handle.net/10553/16988
ISBN: 978-3-540-76724-4
ISSN: 0302-9743
DOI: 10.1007/978-3-540-76725-1_29
Fuente: Rueda L., Mery D., Kittler J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2007. Lecture Notes in Computer Science, vol 4756. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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