Then, using the active appearance model method and having the target age template contain the geometric characteristics of the input face, and the steps of changing the input face age to reach the target age are presented. To maintain the unique geometric characteristics of the input face and apply these characteristics to the target age template, the proposed feature point pattern and the MLS method have been used. Then, using the active appearance model (AAM) method and the presented model, templates are obtained as representative of different age groups. To achieve this goal, the number of feature points and their arrangement on the face are very important. In this work, the goal is to maintain a person's appearance and accurately estimate the face at the target age in such a way that the simulated face should be realistic and have the appearance and texture characteristics of the target age. In this paper, a simulation of the human face evolution from youth to old age is presented.
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