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ホウチン テルヒサ
Teruhisa Hochin
寶珍 輝尚 所属 追手門学院大学 理工学部 情報工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2019/07 |
| 形態種別 | 論文 |
| 査読 | 査読あり |
| 標題 | Extraction of Useful Features from Neural Network for Facial Expression Recognition |
| 執筆形態 | 共著・編著（代表編著を除く） |
| 掲載誌名 | Proceedings - 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019 |
| 掲載区分 | 国外 |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.221-226 |
| 担当区分 | 最終著者 |
| 著者・共著者 | Naoki Imamura,Hiroki Nomiya,Teruhisa Hochin |
| 概要 | Facial expression intensity has been proposed to digitize the degree of facial expressions in order to retrieve impressive scenes from lifelog videos. However, correlation of facial features compared to each facial expression is not determined objectively. Therefore, we recognize facial expressions by using a neural network and calculate the contribution score of input toward output. We verify the score correctly by comparing the accuracy transitions depending on reducing useful and useless features, and process the score statistically. As a result, we extract useful facial features from the neural network. |
| PermalinkURL | https://dblp.uni-trier.de/rec/conf/snpd/2019 |
| researchmap用URL | https://dblp.uni-trier.de/db/conf/snpd/snpd2019.html#ImamuraNH19 |