Human face image age changing method based on average face and aging scale map
A face image and average face technology, applied in the field of computer vision and image processing, can solve the problems of complex synthetic image realism, unsatisfactory, complex changes in face structure characteristics and skin tissue, etc., to improve the effectiveness and versatility, strong realism, and low computational cost
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[0046] refer to figure 1 As shown, the physiological research conclusions of human face aging are listed. During the aging process, various components of the face, including skin, eyebrows, and facial features, may show typical changes as shown in the figure, such as sagging skin, wrinkles, and sagging of the corners of the eyes and mouth. In the follow-up algorithm, we simulated the typical aging features of the face, such as the corners of the eyes, the corners of the mouth, the tip of the eyebrows, and the tip of the nose.
[0047] refer to figure 2 As shown, the arithmetic mean of the marked characteristic lines of all samples is the L here young , which reflects the shape characteristics of the average face; according to figure 1 The revealed biological law of human face aging has a great impact on L young Each segment of the line is manually adjusted to obtain the general aging model L old , lean aging model L oldthin and obese aging model L oldfat .
[0048] re...
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