不完全な顔情報からの表情識別

平澤 諒一; 高橋 裕樹

doi:10.11371/wiieej.13.05.0_100

Reports of the 270th Technical Conference of the Institute of Image Electronics Engineers of Japan

Session ID : 13-05-30

DOI https://doi.org/10.11371/wiieej.13.05.0_100

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: The Institute of Image Information and Television Engineers, The Society for Art & Science

Name : Reports of the 270th Technical Conference of the Institute of Image Electronics Engineers of Japan

Number : 270

Location : [in Japanese]

Date : March 10, 2014 -

Facial Expression Recognition From Incomplete Information

*Ryoichi HIRASAWA, Hiroki TAKAHASHI

Author information

Keywords: Image processing, Facial identification, Feature points, Classifier

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

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%.

Corresponding author

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