• 图形图像 •

### 基于数据驱动的标签分布方法的面部表情分析

1. 江南大学 数字媒体学院，江苏 无锡 214122
• 出版日期:2019-07-01 发布日期:2019-07-08

### Facial Expression Analysis Based on Data-Driven Label Distribution Method

XIE Lei+, WANG Shitong

1. School of Digital Media, Jiangnan University, Wuxi, Jiangsu 214122, China
• Online:2019-07-01 Published:2019-07-08

Abstract: At present, most existing facial expression recognition methods assume that each facial expression in the training set corresponds to a single emotion, which is typically cast as a classification problem. However, in actual situations, a face expression rarely expresses pure emotion, but often a mixture of different emotions. Therefore, samples of similar expression have a correlation at the emotional level, and this correlation also often leads to ambiguity in the sample??s expression labels. Namely, each emotion sample is associated with a latent label distribution. For this reason, this paper proposes a totally data-driven label distribution learning approach to adaptively learn the latent label distributions. Without any pre-hypothesized label distribution, the relationship between each expression and its multiple emotions can be obtained. This method can get the specific description of each emotion contained in the expression and the mapping of the expression image to the emotion distribution. Experimental results show that the proposed method has high accuracy in facial expression recognition and can effectively deal with the facial emotion analysis problem.