Aging of Orbicularis Muscle in Virtual Human Faces

摘要

Given a facial image of a particular person, aging is to construct facial image of the same person but at a different age. This assumption becomes an important limitation when modeling human aging from real data, specially in order to be used by plastic surgeons. In this article we present a new approach to robustly analyze parts of face aging. Our analysis-synthesis cooperation, possible thanks to a highly realistic 3D head model and in comparison with youth age face of the same person. It is presented a prototype of aging an specific region of someone's face, which utilizes a framework for facial feature. By a number of experiments is demonstrated the validity of the rules that have been employed. The evaluation of the overall performance of the fully automated system indicates that the facial aging is performed rather accurately by the system.