论文标题
探测真实和摆姿势的情感表达：评论
Detection of Genuine and Posed Facial Expressions of Emotion: A Review
论文作者
论文摘要
情感的面部表情在人类的社会互动中起着重要作用。但是，姿势表演并不总是与真实的感觉相同。因此，对面部表情的可信度评估，即，对姿势（故意/自愿/欺骗性）的真实（自发）表达的歧视是面部表达理解的至关重要而挑战性的任务。近年来，已经取得了快速的进步，以自动检测真正的面部表情和姿势。本文对相关研究进行了一般综述，包括几个自发性与摆姿势（SVP）面部表达数据库和各种基于计算机视觉的检测方法。此外，讨论了各种影响SVP检测方法性能的因素，以及开放问题和技术挑战。
Facial expressions of emotion play an important role in human social interactions. However, posed acting is not always the same as genuine feeling. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed(deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. Rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges.
