Aging Face Composition Based on Frequency Analysis for Skin Texture

Abstract

In this paper, aging face composition method based on frequency analysis is proposed. First, in the aging texture, we use two-dimensional Fourier transform for the flat area from the face image in the database, and determine the correlation coefficient between the age and the frequency components in frequency space. Next, we convert to a target age about frequency component of high correlation coefficient, and get a target texture by inverse Fourier transformation. In the proposed method, we can generate aging face to maintain personal skin.