PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
2017 ITE Winter Annual Convention
Session ID : 13B-5
Conference information

Investigation of facial expression recognition system using good data of facial images based on subjective experiments
*Tomoyuki TAKANASHIKeita HIRAITakahiko HORIUCHI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
Technologies on facial expression recognition have been widely applied to machines and robotics. According to these developments, facial expression recognition systems using artificial intelligence (deep learning) have been proposed in recent years. However, researches on facial expression recognition system based on fine facial image database are not well investigated. In this study, we developed facial image database of good data through subjective evaluation experiments for big data of SNS facial images. The experimental results show that the small good data was superior to the big data in the performance of facial expression recognition based on deep learning.
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© 2017 The Institute of Image Information and Television Engineers
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