Automatic Facial Feature Points Extraction and Expression Recognition Based on Video Database

DOI

10.2991/nceece-15.2016.274How to use a DOI?

Keywords

Expression Recognition; Support Vector Machine; Video Sequence Processing

Abstract

In this paper, we propose a facial expression recognition method using Support Vector Machine on mapped coordinate sequence features. The proposed system is almost fully automatic, in which landmark initialization is based on general knowledge with edge information, and missing information compensation is done by ASM. The geometric features of facial expressions were extracted from sequences of facial landmarks. Validation experiments were conducted using facial expression sequences extracted from a video based facial expression database.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Duo Feng
AU  - Shun Nishide
AU  - Fuji Ren
PY  - 2015/12
DA  - 2015/12
TI  - Automatic Facial Feature Points Extraction and Expression Recognition Based on Video Database
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1525
EP  - 1530
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.274
DO  - 10.2991/nceece-15.2016.274
ID  - Feng2015/12
ER  -