Facial Expression Recognition From Incomplete Information
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- HIRASAWA Ryoichi
- The University of Electro-Communications
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- TAKAHASHI Hiroki
- The University of Electro-Communications
Bibliographic Information
- Other Title
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- 不完全な顔情報からの表情識別(ポスター(CG表現・画像処理),映像表現・芸術科学フォーラム2014)
Abstract
The author tried facial expression identification in supposed state, that some part of the face is hidden, especially the nose and the mouth is hidden by the mask. 8 feature points around the eyes were extracted by using Active Appearance Models. The author defined feature values as square of the distance between the feature points, and angle. Machine learning was carried out by Support Vector Machine based on the feature value. The recall was 37.58% and the precision was 37.12%.
Journal
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- ITE Technical Report
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ITE Technical Report 38.16 (0), 101-102, 2014
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390001204530018816
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- NII Article ID
- 110009809762
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- ISSN
- 24241970
- 13426893
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed