Iterative Human Facial Expression Modeling

Human facial expression modeling and synthesis have recently become a very active area of research. This is partially due to its potential application in model-based image coding, as well as the possibility of using it to enhance human-computer interactions. The majority of the research that has been done in this area has focused on facial expression analysis, modeling and synthesis. Although good results have been obtained in analysis and synthesis, not much effort has been spent on attempting to synthesize facial images that are natural looking. In this paper, we describe our research on facial expression modeling and synthesis. We propose an iterative framework that uses a genetic algorithm to synthesize natural looking facial images. Facial expression representation and distortion measures will also be discussed. Preliminary results are presented.