Face age estimation method and system, electronic equipment and storage medium

An electronic device and face technology, applied in the fields of digital image processing and pattern recognition, can solve the problems that the field of age estimation has not been considered and researched, cannot be well expressed at the same time, and has high robustness, so as to achieve robust and efficient estimation The effect of performance indicators

Pending Publication Date: 2022-04-26
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) Since the manual feature extraction method of traditional machine learning methods is limited by conditions such as a single facial pose and accurate positioning of facial feature points, its robustness is far less than that of deep learning methods supported by big data
[0007] (2) In the existing age estimation models, for the two characteristics of age growth: nonlinearity and continuity, classification and regression models can only tend to express one, and there is still room

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  • Face age estimation method and system, electronic equipment and storage medium
  • Face age estimation method and system, electronic equipment and storage medium
  • Face age estimation method and system, electronic equipment and storage medium

Examples

Experimental program
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Example Embodiment

[0084] Example 1

[0085] At present, a series of studies have been developed in the field of face age estimation. Because the existing popular estimation models only tend to express one of the age characteristics, that is, the regression algorithm tends to represent continuous information, and the classification algorithm tends to represent non-linear information. The two characteristics cannot be expressed well at the same time, which makes these algorithms have certain limitations.

[0086] Based on the above problems, please refer to figure 2 , figure 2 It is a schematic flow chart of the face age estimation method based on attribute guidance provided by the embodiment of the present invention. This embodiment provides a face age estimation method based on attribute guidance. The method includes the following steps:

[0087] Step 1. Acquire the face age image set and perform preprocessing to obtain the preprocessed face age image set.

[0088] Specifically, this embod...

Example Embodiment

[0133] Embodiment two

[0134] On the basis of the first embodiment above, please refer to Figure 8 , Figure 8 It is a schematic structural diagram of an electronic device for face age estimation based on attribute guidance provided by an embodiment of the present invention. This embodiment provides an electronic device for face age estimation based on attribute guidance, the electronic device includes an image acquisition device, a display, a graphics processor, a communication interface, a memory, a central processing unit and a communication bus, wherein the image acquisition device, The display, the graphics processor, the communication interface, the memory and the central processing unit communicate with each other through the communication bus;

[0135] The image acquisition instrument is used to collect face image data;

[0136] The display is used to display face image recognition data;

[0137] The graphics processor is used to calculate face image data;

[01...

Example Embodiment

[0152] Embodiment three

[0153] On the basis of the second embodiment above, please refer to Figure 9 , Figure 9 It is a schematic structural diagram of a computer-readable storage medium provided by an embodiment of the present invention. A computer-readable storage medium provided by this embodiment has a computer program stored thereon, and the above-mentioned computer program implements the following steps when executed by a processor:

[0154] Step 1. Obtain a face age image set and perform preprocessing to obtain a preprocessed face age image set.

[0155] Specifically, in step 1 of this embodiment, the face age image set is preprocessed to obtain the preprocessed face age image set, including:

[0156] Perform face detection, cropping, and scaling on the face age image set to obtain a preprocessed face age image set.

[0157] The preprocessed face age image set is randomly divided into a training set, a verification set and a test set at a ratio of 8:1:1.

[015...

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Abstract

The invention belongs to the technical field of mode recognition and digital image processing, and discloses a face age estimation method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a face age image set, and carrying out the preprocessing of the face age image set, and obtaining a preprocessed face age image set; constructing a face age estimation model; constructing a composite loss function containing error compression sorting loss and attribute guidance classification loss based on sorting labels; training a face age estimation model according to the face preprocessing image set to obtain a trained face age estimation model; and testing the trained face age estimation model according to a test data set to obtain a face age estimation result so as to realize face age estimation. According to the method, a high-performance multi-scale attention mechanism residual convolution unit, an attribute guidance module and a composite loss function containing error compression sorting loss are introduced, so that a face age estimation target which is robust, efficient and high in estimation performance index is achieved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and digital image processing, and in particular relates to a face age estimation method, system, electronic equipment and storage medium. Background technique [0002] At present, face age estimation is a kind of biometric identification technology based on human facial feature information to estimate human age information. With the continuous development of big data related technologies, face age estimation has been widely used in auxiliary identity authentication, human-computer interaction, demography and other fields. Among these tasks, age estimation based on face images has gradually become an important and challenging topic. [0003] Judging from the current research, according to the different ways of extracting features, face age estimation can be divided into two categories: methods based on traditional machine learning and methods based on deep learning. Since the manual f...

Claims

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Application Information

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IPC IPC(8): G06V40/16G06V10/44G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045G06F18/241
Inventor 曹志诚张开拓赵恒庞辽军
Owner XIDIAN UNIV
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