Aging of orbicularis muscle in virtual human faces

Abstract

Given a facial image of a particular person, aging is to construct the facial image of the same person but at a different age. This assumption becomes an important limitation when modelling human aging from real data, especially in order to be used by plastic surgeons. 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 a youthful age face of the same person. A prototype of aging a specific region of someone's face, which utilizes a framework for facial feature is presented. Via a number of experiments the validity of the rules that have been employed are demonstrated. The evaluation of the overall performance of the fully automated system indicates that facial aging is performed quite accurately by the system.