Modeling facial expression space for recognition

摘要

In this paper, we present a method of modeling facial expression space for facial expression recognition by fuzzy integral. In traditional expression recognition methods using shape features, there are problems in describing both the uncertainty in facial expression classification and the relationship between facial features and facial expressions. Using facial expression space model, those problems can be solved easily. Firstly, we use values of fuzzy integral in different facial expression spaces to describe the uncertainty of facial expression. Secondly, by the fuzzy measure automatically constructed in each facial expression space, we deal with different effects of facial features for facial expression classification. Experiments show this method has a good ability of describing the uncertainty of facial expression and acquires good results of classification.