FACIAL EXPRESSION RECOGNITION FROM INFRARED THERMAL IMAGES USING TEMPERATURE DIFFERENCE BY VOTING

摘要：

　　This paper proposes an approach of facial expression recognition from infrared thermal images by using temperature difference features and voting strategy.Firstly,three kinds of temperature features named horizontal,vertical and sequential difference grid features are introduced and extracted from the thermal images of four facial regions.Secondly,K-Nearest Neighbor is used as a classifier in each facial region.After that,a voting strategy is used as the decision-level fusion.Experiments on a large scale infrared thermal expression database achieve around 61.62% recognition rate.The comparative experiment results suggest that face-region-based facial expression classification using the temperature difference features is feasible,and demonstrate that difference grid features are independent and insensitive to individual or environment.The voting results provide the evidence that our face-region-based voting strategy using infrared thermal images for facial expression recognition is reliable and effective.

关键词： Expression recognition Infrared thermal images Ttemperature difference Voting

作者: Shangfei Wang Peijia Shen Zhilei Liu

作者单位: School of Computer Science and Technology,University of Science and Technology of China,Hefei 230052,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 123-127

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）