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Human face image age changing method based on average face and senile proportional image

A face image and average face technology, applied in the fields of computer vision and image processing, can solve problems such as unsatisfactory, complex synthetic image realism, complex changes in face structure features and skin tissue, and achieves a small amount of calculation. , the effect of improving effectiveness and versatility

Inactive Publication Date: 2006-11-29
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0010] Due to the complex changes in the structural features and skin tissue of the face in the age transformation of the face image, it is very challenging to simulate the age transformation of the face by computer
At present, the existing face image age transformation methods are more complex and the realism of the synthesized image is not satisfactory. Therefore, the present invention aims at the shortcomings of the previous algorithms, and proposes the face image youth transformation based on the average face and the aging ratio map. Facial Image Aging Transformation Method

Method used

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  • Human face image age changing method based on average face and senile proportional image
  • Human face image age changing method based on average face and senile proportional image
  • Human face image age changing method based on average face and senile proportional image

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Embodiment Construction

[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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Abstract

An age-converting method of human face based on average face and ageing scale map includes dividing human face to be shape vector and vein vector based on dense feature presentation, applying human face cartoon synthetic technique to finalize young conversion of specific human face by calculating difference between specific human face to average human face, combining human face image vector modeling with human face image ageing conversion for realizing human face image ageing analog in accordance with physiological feature.

Description

technical field [0001] The present invention relates to the field of computer vision and image processing, in particular to a fast and realistic age transformation method for frontal face images, including a face image youth transformation method based on an average face and a face image aging transformation method based on an aging ratio map . Background technique [0002] The human face is the most expressive part of human beings, and its changes contain a lot of important information. The research on computer-simulated face animation can be traced back to the 1970s, and breakthrough research results have emerged continuously since then. This field has gradually become the interest of many researchers in public security criminal investigation, film and television production, game entertainment and other industries. As an important part of facial animation, the age transformation of face images has far-reaching significance. [0003] Although the appearance characteristic...

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Application Information

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IPC IPC(8): G06T3/00
Inventor 游屈波刘剑毅郑南宁刘跃虎袁泽剑杜少毅
Owner XI AN JIAOTONG UNIV
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