An Investigation into the Impact of Occlusion on Facial Emotion Recognition in the Wild

被引:0
作者
Cheheb, Ismahane [1 ]
机构
[1] Nottingham Trent Univ, Sch Sci & Technol, Dept Comp Sci, Nottingham, England
来源
17TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2024 | 2024年
关键词
affective computing; facial emotion recognition; occluded faces; EXPRESSION RECOGNITION;
D O I
10.1145/3652037.3663932
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Emotion recognition from facial expressions is a crucial task in affective computing with applications in human-computer interaction, security and healthcare. However, real-world scenarios often involve partial occlusions of facial features due to factors such as headgear, accessories, face masks and environmental obstructions. This paper discusses the effect of synthetic occlusion on facial emotion recognition on images captured in the wild targeting three main similar emotions: surprise, fear and neutral expressions. An analysis on the effect of such occlusion on each emotion is also performed including a discussion on which parts of the face most affect emotion recognition. This paper finally discusses associated challenges and insights in this field.
引用
收藏
页码:365 / 368
页数:4
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