Automatic Facial Feature Points Extraction and Expression Recognition Based on Video Database
Authors
Duo Feng, Shun Nishide, Fuji Ren
Corresponding Author
Duo Feng
Available Online December 2015.
- 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/).
Cite this article
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 -