Facial aging simulation and visualization
Joint Leaders: David Marshall and Phil Grant
As an important application of image analysis, predicting the future appearance of children from images has become an interesting research for helping find missing children. We present an application to simulate facial aging progression images. Statistical models are learned to represent the aging-related changing variations. Genetic Programming is then applied to generate a set of functions to predict the future look of children. Some results are shown in the left image.