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- Yoshimori Seiki
- Faculty of Engineering, Nippon Bunri University
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- Takimoto Hironori
- Faculty of Computer Science and System Engineering, Okayama Prefectural University
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- Mitsukura Yasue
- Faculty of Science and Technology, Keio University
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- Fukumi Minoru
- Faculty of Engineering, University of Tokushima
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説明
Facial consciousncss and recognition have been studied for many years. However, these studies have only extracted the feature of facial impression. Some studies have treated the evaluation of facial impression. In those studies, liking, age, and gender were evaluated with respect to facial impression. Therefore, there are no details on whether we evaluate various general facial impressions in daily life. Moreover, the result of evaluation using those studied features depends on the facial-parts-extraction accuracy. Then, we use texture features for facial impression recognition in this study. The texture features can be extracted stably, because we need not specify their positions. We extract texture features in the mesh state. We can extract physical features by this technique without specifying the detailed location of features, unlike the conventional method. Finally, we show the effectiveness of our proposed method compared with previous studies.
収録刊行物
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- 信号処理
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信号処理 16 (5), 419-425, 2012
信号処理学会
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詳細情報 詳細情報について
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- CRID
- 1390282679441983488
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- NII論文ID
- 130004457033
- 40019456576
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- NII書誌ID
- AA11147833
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- ISSN
- 18801013
- 13426230
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- NDL書誌ID
- 024027669
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可