NDLI: Entropy driven feature selection for facial expression recognition based on 3-D facial feature distances

Content Provider	IEEE Xplore Digital Library
Author	Yurtkan, K. Soyel, H. Demirel, H.
Copyright Year	2015
Description	Author affiliation: Elektrik - Elektron. Muhendisligi Bolumu, Dogu Akdeniz Univ., Mersin, Turkey (Demirel, H.) \|\| Bilgisayar Muhendisligi Bolumu, Uluslararasi Kibris Univ., Mersin, Turkey (Yurtkan, K.) \|\| Sch. of Electron. Eng. & Comput. Sci., Queen Mary, Univ. of London, London, UK (Soyel, H.)
Abstract	Facial expressions contain a lot of information about the feelings of a human. It plays an important role in humancomputer interaction. In this paper, entropy based feature selection method applied to 3D facial feature distances is presented for a facial expression recognition system classifying the expressions into 6 basic classes based on 3-Dimensional (3D) face geometry. Our previous work on entropy based feature selection has been improved by employing 3D feature distances between the 83 points on the face as facial features. 3D distances are more robust to rotations of the face and involve more accurate information than 3D feature positions that are used in our previous work. Entropy is applied in order to rank the feature distances for feature selection. The system is tested on BU-3DFE database in person independent manner and provides encouraging recognition rates.
Starting Page	2322
Ending Page	2325
File Size	418633
Page Count	4
File Format	PDF
ISBN	9781467373869
DOI	10.1109/SIU.2015.7130344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-16
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Three-dimensional displays entropy Face recognition Transform coding face biometrics Entropy Face Facial expression analysis facial expression recognition Facial features feature selection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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