A method of micro facial expression recognition based on dense facial motion data
A method of micro facial expression recognition based on dense facial motion data
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发表时间：
2014
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通讯作者：
Y. Akagi;Hiroshi Kawasaki
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作者：
Y. Akagi;Hiroshi Kawasaki
在本文中，我们提出了一种方法来识别微表情，这是一个小的运动出现在脸上，通过使用高密度和高帧率的三维重建方法。有研究表明，微表情是由心理状态的变化引起的。如果我们能够识别微表情，这些信息可能有助于机器理解人类的精神状态。随着3D重构方法的进步，已经提出了以高帧率高精度地重构诸如人体运动的动态对象的方法。基于高质量的形状重建方法获得的数据，所提出的方法识别微表情。为了检测微表情出现的面部的一部分，我们提出了一个实验估计的一部分。我们还报告了使用实验系统的精神状态的变化的识别率。
In this paper, we propose a method for recognizing a micro expression which is a small motion appearing on a face by using a high density and high frame-rate 3D reconstruction method. Some studies report that the micro expressions are caused by the change of mental state. If we can recognize the micro expressions, this information could be useful for machines to understand the mental state of a human. With advancements of 3D reconstruction methods, methods have been proposed to reconstruct dynamic objects such as motions of a human’s body in high accuracy with high frame rate. Based on the data obtained from the high quality shape reconstruction method, the proposed method recognizes the micro expressions. To detect a part of the face where the micro-expressions are appeared, we propose an experimental estimation of the part. We also report a recognition rate of the change of the mental state using the experimental system.