Abstract

one of the challenges in automatic face recognition is to achieve temporal invariance. The goal is come up with a representation and matching scheme i.e robust to changes due to facial aging. Facial aging is a complex process that affects both the 3D shape of the face and its texture. we proposed a graph based face representation for age invariant face recognition the graph contains information on the appearance and geometry of fluid feature points and an age model learned for each individual and graph space is built using the set of feature descriptors extracted from each face image.