Facial Expression Recognition Based upon Human Cognitive Regions

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カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2014/08/01タイトル(英語): Facial Expression Recognition Based upon Human Cognitive Regions著者名: Huiquan Zhang (Graduate School of Information, Pr oduction and Systems, Waseda University), Sha Luo (Graduate School of Information, Production and Systems, Waseda University), Osamu Yoshie (Graduate School of Information, Production and Systems, Waseda Un著者名(英語): Huiquan Zhang (Graduate School of Information, Production and Systems, Waseda University), Sha Luo (Graduate School of Information, Production and Systems, Waseda University), Osamu Yoshie (Graduate School of Information, Production and Systems, Waseda University)キーワード: facial expression recognition，local facial feature，Local Binary Pattern，pseudo 3D face model要約(英語): The discovery of associations between local facial features and image features is one of the current challenges in regard to facial expression recognition. To mitigate the negative effects caused by individual differences, this paper proposes an approach based upon human cognition which can recognize facial expression from six human cognitive regions. The proposed approach exploits descriptions of Local Binary Pattern (LBP) to extract the holistic facial area and establishes a pseudo 3D face model for segmenting the human face into six cognitive regions. Finally, we synthesize change trends and volume distribution of LBP of the six regions to recognize the expressions. Unlike many previous studies, this approach recognizes the expressions from regional features instead of holistic facial features. Further, the regional features are more robust than interesting point-based features because of idiosyncrasy of individuals. To validate our proposed approach, we conducted experiments on the Extended Cohn-Kanade (CK+) facial expression database. The results demonstrate that the proposed approach can effectively segment face into specific areas and recognize facial expressions.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.8 （2014） 特集：産業界における新たな通信・ネットワーク技術の活用本誌掲載ページ: 1148-1156 p原稿種別: 論文／英語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/8/134_1148/_article/-char/ja/ Show more