A Study on the Facial Expression Recognition based on the Face Geometrical Characteristics

カテゴリ: 部門大会

論文No: OS5-7

グループ名: 【C】平成22年電気学会電子・情報・システム部門大会講演論文集

発行日: 2010/09/02

タイトル(英語): A Study on the Facial Expression Recognition based on the Face Geometrical Characteristics

著者名: Dadong Zhao(PaiChai University),Sung-Jun Cho (PaiChai University),JeongYoung Song(PaiChai University)

著者名(英語): Dadong Zhao(PaiChai University),Sung-Jun Cho(PaiChai University),JeongYoung Song(PaiChai University)

キーワード: Face Geometrical characteristics|Facial expression recognition|Real-time|Feature values|expression classification

要約(日本語): Facial expressions are very complex, the expression feature extraction is critical for facial expression recognition. If the extracted features can express the changes of facial expressions, it can receive more accurate recognition results. In this paper the features is mainly based on the shapes of mouth, followed by eyes and eyebrows. This paper makes its efforts to disperse every feature values via the weighting function and proposes method of expression classification with excellent classification effects; the final recognition model has been constructed. In this paper, the studied expressions are classified into four categories, including smile (or happiness, concluding the laugh), scare (or surprise), nature (or primness) and indignation.

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