Face Aging Synthesis Application Based on Feature Fusion
Danbei Wang, Zhengzheng Cui, Huiming Ding, Shuqi Yan, Zhifeng Xie · 2018
Face aging is one of research hotspots in the field of computer vision, but there is no mature system yet that can be applied to digital entertainment. This paper proposes a face aging system based on feature fusion, which can synthesize aging facial images of young people efficiently and quickly by using facial texture features of elderly people's facial images, achieve the goal of simulating the appearance after aging. The system published online by the “eleme” app for the Mother's Day, showing great potential for digital entertainment.