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文章基本信息

  • 标题:Disguised-Face Discriminator for Embedded Systems
  • 本地全文:下载
  • 作者:Yun, Woo-Han ; Kim, Do-Hyung ; Yoon, Ho-Sub
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2010
  • 卷号:32
  • 期号:5
  • 页码:761-765
  • DOI:10.4218/etrij.10.1510.0139
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要:In this paper, we introduce an improved adaptive boosting (AdaBoost) classifier and its application, a disguised-face discriminator that discriminates between bare and disguised faces. The proposed classifier is based on an AdaBoost learning algorithm and regression technique. In the process, the lookup table of AdaBoost learning is utilized. The proposed method is verified on the captured images under several real environments. Experimental results and analysis show the proposed method has a higher and faster performance than other well-known methods.
  • 关键词:Disguised face;discriminator;AdaBoost
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