Representation of facial expression categories in continuous arousal–valence space: Feature and correlation

作者：

Highlights：

• Compared performance of texture (SIFT, Gabor, LBP), geometry and their fusions

• Investigated correlation of arousal and valence dimensions to six basic emotions

• Novel insights into categorized emotion recognition using dimensional axes

摘要

•Compared performance of texture (SIFT, Gabor, LBP), geometry and their fusions•Investigated correlation of arousal and valence dimensions to six basic emotions•Novel insights into categorized emotion recognition using dimensional axes

论文关键词：Facial expression recognition,Dimensional space,Continuous axis,Correlation,Categorized emotion

论文评审过程：Received 24 February 2014, Revised 19 August 2014, Accepted 12 September 2014, Available online 6 October 2014.

论文官网地址：https://doi.org/10.1016/j.imavis.2014.09.005