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Aging of a human face is accompanied by visible changes such as sagging, spots, somberness, and wrinkles. Age progression techniques that estimate an aged facial image are required for long-term criminal or missing person investigations, and also in 3DCG facial animations. This paper focuses on aged facial texture and introduces a novel age progression method based on medical knowledge, which represents an aged wrinkles shapes and positions individuality. The effectiveness of the idea including expression wrinkles in aging facial image synthesis is confirmed through subjective evaluation.

Wrinkles Individuality Preserving Aged Texture Generation using Multiple Expression Images