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Expression recognition method and device and expression recognition model training method and device

A technology of expression recognition and recognition, which is applied in the field of image processing, can solve the problems of low recognition accuracy and achieve the effect of improving accuracy and reducing difficulty

Active Publication Date: 2019-10-29
CAPITAL NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing recognition methods still have some problems of low recognition accuracy.

Method used

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  • Expression recognition method and device and expression recognition model training method and device
  • Expression recognition method and device and expression recognition model training method and device
  • Expression recognition method and device and expression recognition model training method and device

Examples

Experimental program
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Embodiment 1

[0083] To facilitate the understanding of this embodiment, an electronic device that implements an expression recognition method or an expression recognition model training method disclosed in the embodiments of the present application is first introduced in detail.

[0084] Such as figure 1 Shown is a block diagram of the electronic device. The electronic device 100 may include a memory 111 , a storage controller 112 , a processor 113 , a peripheral interface 114 , an input and output unit 115 , and a display unit 116 . Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not limit the structure of the electronic device 100 . For example, the electronic device 100 may also include a ratio figure 1 more or fewer components than shown in, or with figure 1 Different configurations are shown.

[0085] The memory 111 , storage controller 112 , processor 113 , peripheral interface 114 , input / output unit 115 an...

Embodiment 2

[0093] see figure 2 , is a flow chart of the facial expression recognition method provided by the embodiment of the present application. The following will be figure 2 The specific process shown will be described in detail.

[0094] In step 201, the image to be recognized is processed to obtain a face image.

[0095] The method in this embodiment may be used in a public social place, and the above-mentioned image to be recognized may be an image collected in the above-mentioned public social place.

[0096] The method in this embodiment can also be used to analyze the state of a user, and the image to be recognized above can be a photo of the user at a stage.

[0097] Optionally, the above-mentioned image to be recognized may include a partial image of a human face or other partial images, for example, a background, a neck, a shoulder, and the like.

[0098] Optionally, the human face in the image to be recognized can be recognized by a face recognition algorithm, and th...

Embodiment 3

[0125] Based on the same application concept, an expression recognition device corresponding to the expression recognition method is also provided in the embodiment of the present application. Since the problem-solving principle of the device in the embodiment of the application is similar to the above-mentioned expression recognition method in the embodiment of the application, the implementation of the device Reference can be made to the implementation of the method, and repeated descriptions will not be repeated.

[0126] see Figure 4 , is a schematic diagram of the functional modules of the expression recognition device provided in the embodiment of the present application. Each module in the expression recognition device in this embodiment is used to execute each step in the above method embodiment. The expression recognition device in this embodiment includes a first acquisition module 301, a formation module 302 and a recognition module 303; wherein,

[0127] The fir...

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PUM

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Abstract

The invention provides an expression recognition method and device and an expression recognition model training method and device, and the method comprises the steps: processing a to-be-recognized image, so as to obtain a face image; representing each pixel point in the face image by using a quaternion to form a face quaternion matrix, with the weight of each imaginary number in the quaternion representing the value of a corresponding color component; and taking the human face quaternary matrix as the input of a target neural network model, and recognizing the to-be-recognized image to obtainthe expression of the human face in the to-be-recognized image.

Description

technical field [0001] The present application relates to the field of image processing, in particular, to an expression recognition method, expression recognition model training method and device. Background technique [0002] Expressions are the most intuitive expression of people's inner feelings. Based on the development of neural networks, some existing technologies use neural network models to recognize expressions. However, the existing recognition methods still have some problems of low recognition accuracy. Contents of the invention [0003] In view of this, the purpose of the embodiments of the present application is to provide an expression recognition method, an expression recognition model training method and a device. It can achieve the effect of improving the accuracy of facial expression recognition. [0004] In the first aspect, the embodiment of the present application provides an expression recognition method, including: [0005] Process the image to ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/08
CPCG06N3/08G06V40/174G06V40/168G06V10/56
Inventor 邵珠宏薛志毅尚媛园沈珺徐子涵丁辉赵晓旭刘铁
Owner CAPITAL NORMAL UNIVERSITY
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