An analysis of automatic gender classification
Data(s) |
16/05/2016
16/05/2016
2007
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Resumo |
<p>[EN]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.</p> |
Identificador |
http://hdl.handle.net/10553/16988 723342 <p><a href="http://dx.doi.org/10.1007/978-3-540-76725-1_29" target="_blank">10.1007/978-3-540-76725-1_29</a></p> |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/openAccess |
Fonte |
<p>Progress in Pattern Recognition, Image Analysis and Applications. Berlin: Springer, 2007 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 4756, pp. 271-280). ISBN 978-3540-76724-4. ISBN online 978-3-540-76725-1</p> |
Palavras-Chave | #120304 Inteligencia artificial |
Tipo |
info:eu-repo/semantics/conferenceObject |