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
言語種別	英語
発行・発表の年月	2020/04
形態種別	外国学術誌（その他）
査読	査読あり
標題	Finding Useful Features for Facial Expression Recognition and Intensity Estimation by Neural Network
執筆形態	共著・編著（代表編著を除く）
掲載誌名	International Journal of Software Innovation
掲載区分	国外
出版社・発行元	IGI Global
巻・号・頁	8(2),pp.68-84
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. The intensity is calculated based on the correlation of facial features compared to each facial expression. However, the correlation is not determined objectively. It should be determined statistically based on the contribution score of the facial features necessary for expression recognition. Therefore, the proposed method recognizes facial expressions by using a neural network and calculates the contribution score of input toward the output. First, the authors improve some facial features. After that, they verify the score correctly by comparing the accuracy transitions depending on reducing useful and useless features and process the score statistically. As a result, they extract useful facial features from the neural network.
PermalinkURL	https://dblp.uni-trier.de/db/journals/ijsinnov/ijsinnov8.html#ImamuraNH20