Abstract
Face aging is a challenging work in image processing and computer animation field. In this paper, a novel local image Laplacian differential method is proposed to learn this complex face transformation. Firstly, together with the facial feature points correspondence, we extract the aging facial details from example face and apply to the target one by a global and a local Laplacian skin aging model respectively, and the latter makes the results more realistic in our experiment. Then, the skin color and hair style adjustments are carried out to simulate the aging process completely, making the results look more competitive and natural. Our experiment shows that our method is robust and appreciable.
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