2015 | OriginalPaper | Buchkapitel
Facial Aging Simulator by Data-Driven Component-Based Texture Cloning
Autoren: Daiki Kuwahara, Akinobu Maejima, Shigeo Morishima
Verlag: Springer International Publishing
Facial aging and rejuvenation simulation is a challenging topic because keeping personal characteristics in every age is difficult problem. In this demonstration, we simulate a facial aging/rejuvenating only from a single photo. Our system alters an input face image to aged face by reconstructing every facial component with face database for target age. An appropriate facial components image are selected by a special similarity measurement between current age and target age to keep personal characteristics as much as possible. Our system successfully generated aged/ rejuvenated faces with age-related features such as spots, wrinkles, and sagging while keeping personal characteristics throughout all ages.