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Dynamic interval-based face age estimation method

A dynamic, face technology, applied in the field of face recognition, can solve the problems of too large predefined age group size and easy estimation errors of face images.

Inactive Publication Date: 2016-06-15
HUAQIAO UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a face age estimation method based on dynamic intervals, which solves the problem that the pre-defined age group intervals in the traditional age group estimation method are too large and are at the boundary of different age groups It is easy to estimate the wrong problem of the face image on the

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  • Dynamic interval-based face age estimation method

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Embodiment Construction

[0030] see figure 1 , a kind of face age estimation method based on dynamic interval of the present invention, comprises the following steps:

[0031] Step 101: extracting the features of the face;

[0032] Specifically, it includes AAM features, face LBP texture features, wrinkle features, etc.

[0033] Step 201: choose a clustering algorithm to find the central face of each age, the central face is at the center of each age cluster, and the sum of squares of distances from it to each face in the cluster is the smallest;

[0034] Step 301: According to the degree of similarity between the face to be estimated and the central face, select the age corresponding to the TopK most similar faces as the predicted age, and define the correlation function between the confidence interval and the confidence degree;

[0035] Specifically, according to the similarity between the human face to be estimated and the central human face, the similarity between human faces is measured by 1-no...

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Abstract

The present invention discloses a dynamic interval-based face age estimation method. The method comprises the steps of extracting the features of a face; finding a central face at each age based on the clustering algorithm; according to the similarity degree between a to-be-estimated face and the central face, selecting top K ages corresponding to a most similar face as prediction ages and defining a correlation function between the confidence interval and the confidence coefficient; according to the correlation function between the confidence interval and the confidence coefficient, estimating the bar graph, the normal distribution curve, the normal distribution expected value and the standard deviation of a face age according to the square estimation method by utilizing the top K ages of all test images at each age; calculating different confidence coefficients and the corresponding confidence intervals thereof according to the cumulative distribution function of the normal distribution. According to the technical scheme of the invention, the problem in the prior art that the traditional single-age estimation method is not high in accuracy can be effectively solved.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a method for estimating the age of a face based on a dynamic interval. Background technique [0002] Faces are a rich source of information, and people can easily obtain a large amount of relevant information from faces: such as identity, gender, attitude and so on. Therefore, information processing technology related to face has become an important research topic in the fields of computer vision, human-computer interaction and pattern recognition. Age estimation based on face images refers to the application of computer technology to model the changes in face images with age, so that the machine can infer the approximate age or age range of a person based on the face image. [0003] The aging of the human face is affected by many factors, not only related to people's gender, race, health status, lifestyle, nature of work, life pressure and social influence, but also affected by ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/16G06V40/178G06V40/168G06V40/172
Inventor 陈叶旺赖德河骆翔宇杜吉祥
Owner HUAQIAO UNIVERSITY
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