首页    期刊浏览 2024年10月01日 星期二
登录注册

文章基本信息

  • 标题:ニューラルネットワークの学習とエネルギー極小化による動的領域抽出
  • 本地全文:下载
  • 作者:岩田 治幸 ; 長橋 宏
  • 期刊名称:映像情報メディア学会誌
  • 印刷版ISSN:1342-6907
  • 电子版ISSN:1881-6908
  • 出版年度:1998
  • 卷号:52
  • 期号:7
  • 页码:1048-1054
  • DOI:10.3169/itej.52.1048
  • 出版社:The Institute of Image Information and Television Engineers
  • 摘要:In the process of extracting nonuniform target regions such as faces, it is necessary to identify their features. This paper proposes an active-region extraction method based on pattern recognition using a layered neural network. The neural network is used to extract features of previously given sample patterns. During the extraction, the neural network outputs the suitability of the extraction based on the features. Experimental results show that it is possible to extract some occluded parts associated with visible parts of target regions. It is also possible to extract face regions using this method.
  • 关键词:ニューラルネットワーク;パターン認識;動的領域抽出;誤差逆伝播アルゴリズム;変形度
国家哲学社会科学文献中心版权所有