MISC

2012年

Parsing Clothing in Fashion Photographs

2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
  • Kota Yamaguchi
  • ,
  • M. Hadi Kiapour
  • ,
  • Luis E. Ortiz
  • ,
  • Tamara L. Berg

開始ページ
3570
終了ページ
3577
記述言語
英語
掲載種別
DOI
10.1109/CVPR.2012.6248101
出版者・発行元
IEEE

In this paper we demonstrate an effective method for parsing clothing in fashion photographs, an extremely challenging problem due to the large number of possible garment items, variations in configuration, garment appearance, layering, and occlusion. In addition, we provide a large novel dataset and tools for labeling garment items, to enable future research on clothing estimation. Finally, we present intriguing initial results on using clothing estimates to improve pose identification, and demonstrate a prototype application for pose-independent visual garment retrieval.

Web of Science ® 被引用回数 : 235

リンク情報
DOI
https://doi.org/10.1109/CVPR.2012.6248101
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000309166203093&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866697430&origin=inward
ID情報
  • DOI : 10.1109/CVPR.2012.6248101
  • ISSN : 1063-6919
  • SCOPUS ID : 84866697430
  • Web of Science ID : WOS:000309166203093

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