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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
表情識別に対するMTS法の適用
| Title: | 表情識別に対するMTS法の適用 |
| Other Titles: | Application of the MTS Method for Facial Expression Recognition |
| Authors: | 長尾, 光悦1 Browse this author →KAKEN DB | | 山本, 雅人2 Browse this author →KAKEN DB | | 鈴木, 恵二3 Browse this author →KAKEN DB | | 大内, 東4 Browse this author →KAKEN DB |
| Authors(alt): | NAGAO, Mitsuyoshi1 | | YAMAMOTO, Masahito2 | | SUZUKI, Keiji3 | | OHUCHI, Azuma4 |
| Keywords: | 顔画像 | | 表情識別 | | MTS法 | | 微分積分特性 | | 仮想的参照パターン | | 遺伝的アルゴリズム |
| Issue Date: | 1-Aug-2000 |
| Publisher: | 電気学会 |
| Journal Title: | 電気学会論文誌. C, 電子・情報・システム部門誌 |
| Journal Title(alt): | The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society |
| Volume: | 120 |
| Issue: | 8 |
| Start Page: | 1157 |
| End Page: | 1164 |
| Abstract: | It is clear that facial expressions are important on face-to-face communication. Humans can not only guess other person's psychological state from facial expressions but can also give own intentions to other persons by using them. If users can use facial expressions to a computer and the computer can correctly recognize them, an effective human interface can be constructed. Therefore, it is necessary to establish an effective facial expression recognition technique from facial image data. In this paper, we propose an application of the MTS (Mahalanobis-Taguchi-System) method for facial expression recognition. Especially, we treat the facial expression recognition from stationary facial image data. The NITS method is a statistical pattern recognition method using the Mahalanobis distance. This method can consider the correlation among each attribute in the recognition, and can optimize the number of attributes based on the results of recognition. We also propose an optimization method with the genetic algorithms. We construct the recognition system based on the MTS method, and then evaluate the effectiveness of the proposed methods through practical experiments. The experimental results revealed that our proposed methods could correctly recognize the facial expressions and could effectively optimize the number of attributes. |
| Relation: | http://www.iee.jp/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/64536 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山本 雅人
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