Stripe based clothes segmentation
Data(s) |
15/03/2016
15/03/2016
2016
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Resumo |
[EN]In this paper, a clothes segmentation method for fashion parsing is described. This method does not rely in a previous pose estimation but people segmentation. Therefore, novel and classic segmentation techniques have been considered and improved in order to achieve accurate people segmentation. Unlike other methods described in the literature, the output is the bounding box and the predominant color of the different clothes and not a pixel level segmentation. The proposal is based on dividing the person area into an initial fixed number of stripes, that are later fused according to similar color distribution. To assess the quality of the proposed method the experiments are carried out with the Fashionista dataset that is widely used in the fashion parsing community.</p> |
Identificador |
http://hdl.handle.net/10553/16133 720762 <p>10.1109/ICMEW.2015.7169791</p> |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/openAccess |
Fonte |
<p>IEEE International Conference on Multimedia & Expo Workshops</p> |
Palavras-Chave | #120304 Inteligencia artificial |
Tipo |
info:eu-repo/semantics/conferenceObject |