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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

Inactive Publication Date: 2009-10-14
SHANXI SHENGSHI HUIHUANG INTELLIGENT TECH
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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 aging scale map
  • Human face image age changing method based on average face and aging scale map
  • Human face image age changing method based on average face and aging scale map

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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

The invention discloses a human face image age changing method based on average face and aging scale map, comprising the steps of: dividing the human face to be shape vector and vein vector with dense feature presentation; using a human face cartoon synthetic technique to complete young changing of specific human face by calculating difference between the specific human face and the average human face and further reducing the difference; and combining human face image vector modeling with human face image ageing changing for realizing human face image ageing analog in accordance with physiological feature. According to the changing of human face shape feature caused by aging, some feature line of the human face shape is modified so as to realize shape ageing analog; and for the change of vein feature, an aging scale map is prepared in a way of scale map, according to vein mapping, the vein feature aging analog of the human face shape is realized. The method fully considers the unified change of the shape and the vein when human face age changes, thereby greatly increasing the third dimension of synthetic image.

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...

Claims

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Application Information

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IPC IPC(8): G06T15/70G06T13/40
Inventor 董宝达李红
Owner SHANXI SHENGSHI HUIHUANG INTELLIGENT TECH
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