Spontaneous facial expression recognition: A robust metric learning approach
作者：
Highlights：
• A novel spontaneous expression recognition is proposed.
• It utilizes multiple annotators for expression labeling.
• Robustness to annotation errors is ensured via estimation of error probability.
• Expectation Maximization is used for learning the distance metric.
• A high recognition accuracy is achieved via the robust metric learning.
摘要
Highlights•A novel spontaneous expression recognition is proposed.•It utilizes multiple annotators for expression labeling.•Robustness to annotation errors is ensured via estimation of error probability.•Expectation Maximization is used for learning the distance metric.•A high recognition accuracy is achieved via the robust metric learning.
论文关键词：Spontaneous facial expression recognition,Metric learning,Online learning,Robust learning
论文评审过程：Received 12 July 2013, Revised 9 October 2013, Accepted 23 November 2013, Available online 3 December 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.11.025
