Feature Acquisition From Facial Expression Image Using Convolutional Neural Networks

DOI DOI 機関リポジトリ 機関リポジトリ (HANDLE) 被引用文献1件 オープンアクセス
  • Nishime Taiki
    Graduate school of Information Engineering, University of Ryukyus
  • Endo Satoshi
    School of Information Engineering, University of the Ryukyus
  • Yamada Koji
    School of Information Engineering, University of the Ryukyus
  • Toma Naruaki
    School of Information Engineering, University of the Ryukyus
  • Akamine Yuhei
    School of Information Engineering, University of the Ryukyus

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説明

In this study, we carried out the facial expression recognition from facial expression dataset using Convolutional Neural Networks (CNN). In addition, we analyzed intermediate outputs of CNN. As a result, we have obtained a emotion recognition score of about 58%; two emotions (Happiness, Surprise) recognition score was about 70%. We also confirmed that specific unit of intermediate layer have learned the feature about Happiness. This paper details these experiments and investigations regarding the influence of CNN learning from facial expression.

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