Facial Expression Recognition Influenced by Human Aging

Facial expression recognition (FER) is an active research topic in computer vision. However, there is no study yet to discover whether FER is affected by human aging, from a computational perspective. We perform a computational study of FER within and across age groups and compare the FER accuracies. Two databases from the psychology society are introduced to the computer vision community and used for our study. We found that the FER is influenced significantly by human aging, and we analyze the influence and interpret it from a computational viewpoint. Next, we propose some schemes to reduce the influence of aging on FER and evaluate the effectiveness in dealing with lifespan FER.