人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
論文
模擬育種法を用いた顔の同定支援システムに関する研究
平山 高嗣上田 芳弘木村 春彦阿部 武彦
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2001 年 16 巻 5 号 p. 427-435

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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.

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© 2001 JSAI (The Japanese Society for Artificial Intelligence)
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