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Adaptive age distribution learning-based face age estimation method

An age distribution and adaptive technology, applied in the field of computer vision, can solve the complex relationship between image features and age, is not conducive to understanding the relationship between image feature age, and cannot well explain the ambiguity of age labels, etc.

Active Publication Date: 2017-08-15
ZHEJIANG UNIV
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Problems solved by technology

Therefore, the restricted form of age distribution does not explain the ambiguity of age labels very well.
[0008] 2. It is not conducive to understanding the relationship between image features and age,
However, in the actual environment, the relationship between image features and age among face samples is very complicated.
This shows that it is inappropriate to use simple mathematical distributions to describe the above-mentioned interrelationships

Method used

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  • Adaptive age distribution learning-based face age estimation method
  • Adaptive age distribution learning-based face age estimation method
  • Adaptive age distribution learning-based face age estimation method

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[0053] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the following detailed description of the present invention. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0055] refer to figure 1 , is shown as a flow chart of a face age estimation method based on adap...

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Abstract

The present invention discloses an adaptive age distribution learning-based face age estimation method. The method comprises the following steps that: step 1, required face image data are provided; step 2, the age distribution of face samples is established; step 3, a face age prediction model is established; step 4, the optimized objective function of an algorithm is established; and step 5, the prediction model is utilized to estimate the age tag of a face image. With the method adopted, the internal structure of the face sample can be effectively grasped, and age tag ambiguity is analyzed through using the age tags of the context-dependent samples.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a face age estimation method based on adaptive age distribution learning. Background technique [0002] In the face age estimation model, the concept of "age distribution" was first proposed by Geng et al. 【1】 propose. Through the observation of real face data, this work recognizes the ambiguity of age labels, that is, there is a correlation between similar age labels. Using an age range to represent the development or aging of human face appearance is better than using a single age label. more practical. [0003] By sorting out recent related work involving "age distribution", we can find that most of these age estimation methods assume that the form of age distribution is known. For example, IIS-LLD 【1】 It is considered that the age distribution of each face sample is given in advance, and that the form of these age distributions is fixed, that is, the method pre-sets the for...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/169G06V40/178G06V40/172
Inventor 何周舟张仲非李玺张亚庆
Owner ZHEJIANG UNIV
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