首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Reseach of the Support System to Identify Face Using Simulated Breeding
  • 本地全文:下载
  • 作者:Takatsugu Hirayama ; Yoshihiro Ueda ; Haruhiko Kimura
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2001
  • 卷号:16
  • 期号:5
  • 页码:427-435
  • DOI:10.1527/tjsai.16.427
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:In the facial retrieval, it is necessary to cope with the change of expression and consider the personal subjectivity. Generally, the matching by using linguistic keywords or image has been used in the conventional image retrieval. Therefore, this method isn’t suitable for the facial image retrieval. Recently, a method treating the user’s subjectivity is researched. In the method, the user evaluates facial images presented by the system, and the system retrieves new candidacies according to the evaluation. One of such method is the simulated breeding. However, this method gives heavier work to the user than the conventional method does. In this paper, we propose the facial image retrieval system united the retrieval by using linguistic keywords with the simulated breeding in order to decrease user’s work. The proposed system performs the retrieval by using the impressive adjective first, and the retrieval by using the simulated breeding. We evaluate the system through the experiment using the subjects and comparing with the prior art.
  • 关键词:facial retrieval ; subjectivity ; simulated breeding ; impressive adjective
国家哲学社会科学文献中心版权所有