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Static facial expression recognition method and system based on joint feature pair relation network

A technology of facial expression recognition and facial expression recognition, which is applied in the field of facial expression recognition, can solve problems such as difficulties in facial expression recognition, achieve the effects of reducing intra-class differences, improving reliability, and expanding inter-class differences

Pending Publication Date: 2021-04-23
常州码库数据科技有限公司
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Problems solved by technology

[0003] In view of the above deficiencies, the object of the present invention is to provide a static facial expression recognition method and system based on a joint feature pair relationship network, to solve the difficult problem of facial expression recognition in the prior art

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  • Static facial expression recognition method and system based on joint feature pair relation network
  • Static facial expression recognition method and system based on joint feature pair relation network
  • Static facial expression recognition method and system based on joint feature pair relation network

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Embodiment Construction

[0040] 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.

[0041] A static facial expression recognition method based on a joint feature pair relationship network, comprising the following steps:

[0042] Obtain static facial expression data;

[0043] Input the static facial expression data into the static expression recognition model;

[0044] Recognize facial expressions through static expression recognition models;

[0045] The static expression recognition model is based on the joint feature pair relationship network.

[0046] The training process of the static expression recognition model is as follows:

[0047] (1) Data processing is performed on...

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Abstract

The invention discloses a static facial expression recognition method and system based on a joint feature pair relation network. The method comprises the following steps: obtaining static facial expression data; inputting the static facial expression data into a static expression recognition model; recognizing a facial expression through a static expression recognition model; creating the static expression recognition model based on the joint feature pair relation network. The inter-class difference is expanded, the intra-class difference is reduced, and the recognition precision of facial expression recognition is improved.

Description

technical field [0001] The invention relates to the field of facial expression recognition, in particular to a static facial expression recognition method and system based on a joint feature pair relationship network. Background technique [0002] Facial expression recognition is one of the very important and interesting research fields in the field of human-computer interaction, which has attracted the attention of many researchers. However, in an unconstrained environment, the appearance of people will change greatly, and there will be a problem of large intra-class differences and small inter-class differences in facial expressions, which makes facial expression recognition difficult. Therefore, in an unconstrained environment, better facial expression recognition needs to reduce the difference of the same kind of expression while expanding the difference of different expressions. Contents of the invention [0003] In view of the above deficiencies, the purpose of the ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/171G06V40/175G06V40/161G06V10/50G06V10/44G06N3/045G06F18/24
Inventor 冯全吕修旺姚潇
Owner 常州码库数据科技有限公司
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