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Age estimation method, equipment and face recognition system

A technology of face recognition system and equipment, applied in the field of face recognition system, can solve the problems of large amount of computation and high implementation cost, and achieve the effect of reducing the amount of computation

Inactive Publication Date: 2009-12-30
HUAWEI TECH CO LTD +1
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AI Technical Summary

Problems solved by technology

[0009] The implementation cost of the existing method is relatively high. It is necessary to extract a large amount of contour information and texture information for the sample set of each age group, and the amount of calculation is very large.

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  • Age estimation method, equipment and face recognition system
  • Age estimation method, equipment and face recognition system
  • Age estimation method, equipment and face recognition system

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Embodiment Construction

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] figure 1 is a flowchart illustrating an age estimation method 100 according to an embodiment of the present invention.

[0025] In the method 100, at S105, the face image of the user is processed to extract original feature data. A set of feature values ​​is generated by calculation or measurement from the processed data set (for example, face image). Since this is a set of data from the dataset itself, it is called raw feature data.

[0026]...

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Abstract

The embodiment of the invention provides an age estimation method and equipment. The method comprises the following steps: processing face images of users to extract initial characteristic data; selecting subsets of the initial characteristic data as low-dimension characteristic data with dimensionality less than that of the initial characteristic data; carrying out relevant component analysis on the low-dimension characteristic data to obtain training data; according to the obtained training data, training regression analysis parameters used for age estimation; adopting the regression analysis parameters to estimate the ages of the users. The embodiment of the invention can reduce the computation of the age estimation in the face recognition system.

Description

technical field [0001] The present invention relates to a face recognition system, and more particularly, to an age estimation method and device in the face recognition system. Background technique [0002] To implement a robust face recognition system, it is inevitable to address the influence of factors such as illumination, expression, posture, and age. Age estimation is to estimate the age of the individual by using the characteristics of the face image according to the method of pattern classification. Age-based human-computer interaction has huge potential applications in everyday life. However, automatic age recognition technology has been rarely involved in research. A major reason is that several unique properties of the aging effect on human faces necessitate the use of some non-standard classification methods for age estimation. This also makes age estimation a challenging problem. [0003] If the age recognition problem can be solved, the following goals are ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/66
Inventor 王蕴红左坤隆郝韬
Owner HUAWEI TECH CO LTD
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