Facial expression recognition based on local facial regions

In facial expression recognition, the extraction of expression features is most important. It is a complex problem that how to extract steady and effective expression features from facial images which contain much disturbance. lt is the key to improve recognition rate, too. In this paper, four local regions such as mouth, nose, eye (including the eyebrows) and glabella that are extracted. Our experiments are performed on the database of CED-WYU (1.0). And the experiment results explain our understanding about facial expression recognition based on local facial regions.