7Micro- and Macro-Expression Analysis
Benjamin ALLAERT1, Ioan Marius BILASCO2 and Chaabane DJERABA2
1IMT Nord Europe, Lille, France
2University of Lille, France
7.1. Introduction
In this chapter, we focus our attention on the recognition of expressions in the presence of a great diversity of facial movement amplitudes. Therefore, we are really interested in the study of macro- and micro-expressions which allow us to provide an exhaustive panel of facial movements. As a reminder, macro-expressions are defined by voluntary movements and characterized by high-intensity movements lasting between 0.5 and 4 seconds. As for micro-expressions, they are often involuntary and last a fraction of a second, on average between 170 ms and 500 ms (Yan et al. 2013). Although these movements are very fast and generally not perceptible to the human eye, micro-expressions provide valuable information on the emotional state of a person.
A wide variety of approaches have been proposed for the recognition of macro-expressions in video sequences. However, these solutions are not suitable in the presence of low-intensity expressions such as micro-expressions (Yan et al. 2013). Although recent approaches tend towards common techniques for analyzing macro- and micro-expressions, there is no unified solution to optimally process both simultaneously. This is mainly due to the different characteristics of motion intensity change and/or texture.
In the previous chapter, we introduced a new descriptor, called ...
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