Seeing through the expression: Bridging the gap between expression and emotion recognition

Lun Kai Hsu, Wen Sheng Tseng, Li Wei Kang, Yu Chiang Frank Wang

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

In this paper, we propose a novel approach for visualizing and recognizing different emotion categories using facial expression images. Extended by the unsupervised nonlinear dimension reduction technique of locally linear embedding (LLE), we propose a supervised LLE (sLLE) algorithm utilizing emotion labels of face expression images. While existing works typically aim at training on such labeled data for emotion recognition, our approach allows one to derive subspaces for visualizing facial expression images within and across different emotion categories, and thus emotion recognition can be properly performed. In our work, we relate the resulting two-dimensional subspace to the valence-arousal emotion space, in which our method is observed to automatically identify and discriminate emotions in different degrees. Experimental results on two facial emotion datasets verify the effectiveness of our algorithm. With reduced numbers of feature dimensions (2D or beyond), our approach is shown to achieve promising emotion recognition performance.

原文英語
主出版物標題2013 IEEE International Conference on Multimedia and Expo, ICME 2013
DOIs
出版狀態已發佈 - 2013
對外發佈
事件2013 IEEE International Conference on Multimedia and Expo, ICME 2013 - San Jose, CA, 美国
持續時間: 2013 7月 152013 7月 19

出版系列

名字Proceedings - IEEE International Conference on Multimedia and Expo
ISSN(列印)1945-7871
ISSN(電子)1945-788X

其他

其他2013 IEEE International Conference on Multimedia and Expo, ICME 2013
國家/地區美国
城市San Jose, CA
期間2013/07/152013/07/19

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦科學應用

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