Volume 2, Issue 1, June 2015, Pages 5 - 8
Facial Expression Recognition Using Facial Expression Intensity Characteristics of Thermal Image
Authors
Yasunari Yoshitomi, Taro Asada, Ryota Kato, Masayoshi Tabuse
Corresponding Author
Yasunari Yoshitomi
Available Online 1 June 2015.
- DOI
- 10.2991/jrnal.2015.2.1.2How to use a DOI?
- Keywords
- Facial expression recognition, Area of mouth and jaw, Thermal image, and Utterance judgment
- Abstract
To develop a robot that understands human feeling, we propose a method for recognizing facial expressions. A video was analyzed by thermal image processing and the feature parameter of facial expression, which was extracted in the area of the mouth and jaw by a two-dimensional discrete cosine transform. The facial expression intensity, defined as the norm of the difference vector between the feature vector of the neutral facial expression and that of the observed one, was measured. The feature vector made by facial expression intensity and time at utterance was used for recognizing facial expression.
- Copyright
- © 2013, 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 - JOUR AU - Yasunari Yoshitomi AU - Taro Asada AU - Ryota Kato AU - Masayoshi Tabuse PY - 2015 DA - 2015/06/01 TI - Facial Expression Recognition Using Facial Expression Intensity Characteristics of Thermal Image JO - Journal of Robotics, Networking and Artificial Life SP - 5 EP - 8 VL - 2 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2015.2.1.2 DO - 10.2991/jrnal.2015.2.1.2 ID - Yoshitomi2015 ER -