Aging Simulation of Face Images Based on Super-Resolution

One of the major difficulties of face recognition is the aging problem, that is, the performances of most algorithms degrade significantly when the age difference between the test face and the queried face increases. With the idea of simulating age effects on facial images, Several approaches had been developed to handle the aging problem. This paper provides a novel approach of aging simulation based on super-resolution of face images. The texture of target age face is hallucinated to gain simulation outcome. The experimental results show that the proposed algorithm is valid.