Paper Abstract and Keywords |
Presentation |
2014-03-17 11:00
Facial expression recognition from incomplete information Ryoichi Hirasawa (UEC) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
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%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Image processing / Facial identification / Feature points / Classifier / / / / |
Reference Info. |
ITE Tech. Rep., vol. 38, pp. 101-102, March 2014. |
Paper # |
|
Date of Issue |
2014-03-10 (AIT) |
ISSN |
Print edition: ISSN 1342-6893 |
Download PDF |
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Conference Information |
Committee |
AIT IIEEJ AS |
Conference Date |
2014-03-17 - 2014-03-17 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
AS |
Conference Code |
2014-03-AIT-IIEEJ-AS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Facial expression recognition from incomplete information |
Sub Title (in English) |
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Image processing |
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Facial identification |
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Feature points |
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Classifier |
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1st Author's Name |
Ryoichi Hirasawa |
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The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2014-03-17 11:00:00 |
Presentation Time |
90 minutes |
Registration for |
AS |
Paper # |
AIT2014-57 |
Volume (vol) |
vol.38 |
Number (no) |
no.16 |
Page |
pp.101-102 |
#Pages |
2 |
Date of Issue |
2014-03-10 (AIT) |