面部表情
计算机科学
插值(计算机图形学)
人工智能
表达式(计算机科学)
语音识别
计算机视觉
模式识别(心理学)
图像(数学)
程序设计语言
作者
Tomas Pfister,Xiaobai Li,Guoying Zhao,Matti Pietikäinen
标识
DOI:10.1109/iccv.2011.6126401
摘要
Facial micro-expressions are rapid involuntary facial expressions which reveal suppressed affect. To the best knowledge of the authors, there is no previous work that successfully recognises spontaneous facial micro-expressions. In this paper we show how a temporal interpolation model together with the first comprehensive spontaneous micro-expression corpus enable us to accurately recognise these very short expressions. We designed an induced emotion suppression experiment to collect the new corpus using a high-speed camera. The system is the first to recognise spontaneous facial micro-expressions and achieves very promising results that compare favourably with the human micro-expression detection accuracy.
科研通智能强力驱动
Strongly Powered by AbleSci AI