Aging simulation using facial muscle model

Recently, the techniques of face recognition have been widely used in security application such as security monitoring, and access control. However, there are still some challenges in face recognition system which the light changes, expression changes, head movements, accessory occlusion and aging effect are the main issues. For the aging effect, the shape and texture change degrades the performance of face recognition system. Therefore, there are many algorithms focusing on how to simulate the aging face image. In this paper, the modeling of face image is an important procedure for aging simulation. We propose an aging simulation scheme based on the facial muscle model. Then the estimated aging is calculated by the texture variation of a target age from subspace of age groups. Finally, the PCA is applied to face recognition system. The simulation results presented in the paper are compared with the ground truth image of the same person. Simulation results show that the proposed aging simulation scheme is able to improve performance of face recognition system.