Automatic clothes segmentation for soft biometrics
Data(s) |
15/02/2016
15/02/2016
2014
|
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Resumo |
<p>[EN]During the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.</p> |
Identificador |
http://hdl.handle.net/10553/15756 <p>10.1109/ICIP.2014.7026007</p> |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/openAccess |
Fonte |
<p>Image Processing (ICIP), 2014 IEEE International Conference on</p> |
Palavras-Chave | #120304 Inteligencia artificial |
Tipo |
info:eu-repo/semantics/conferenceObject |