Abstract
This article shows how complex emotions are. This has been proven by the analysis of the changes that occur on the face. The authors present the problem of image analysis for the purpose of identifying emotions. In addition, they point out the importance of recording the phenomenon of the development of emotions on the human face with the use of high-speed cameras, which allows the detection of micro expression. The work that was prepared for this article was based on analyzing the parallax pair correlation coefficients for specific faces. In the article authors proposed to divide the facial image into 8 characteristic segments. With this approach, it was confirmed that at different moments of emotion the pace of expression and the maximum change characteristic of a particular emotion, for each part of the face is different.
Highlights
IntroductionThere are many algorithms created by specialists from different fields that allow such analyzes
The problem of recognizing emotion based on image analysis is known worldwide
It is important to know, there are dozens of emotional states for which there is no algorithm for remotely recognizing these states
Summary
There are many algorithms created by specialists from different fields that allow such analyzes Examples of such algorithms and analysis are described in the papers [1], [2]. Presented approach will allow you to record all facial changes, including very short-lasting, so-called microexpressions. They are not noticeable by people observing this phenomenon without the use of additional tools, our brain is able to understand them even without focussing attention. This is caused by the time in which microexpression on the face is visible. The work of deepening knowledge on this subject can help to create a reliable tool to explore what a person is trying to hide and unconsciously shows on his or her face
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