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Method and device for establishing expression recognition model, computer equipment and storage medium

An expression recognition and model technology, applied in the field of artificial intelligence, can solve problems such as low identification accuracy

Pending Publication Date: 2020-11-06
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the embodiment of the present application is to propose a method, device, computer equipment and storage medium for establishing an expression recognition model to solve the problems of over-fitting and low precision in logo recognition

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  • Method and device for establishing expression recognition model, computer equipment and storage medium
  • Method and device for establishing expression recognition model, computer equipment and storage medium
  • Method and device for establishing expression recognition model, computer equipment and storage medium

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Embodiment Construction

[0077] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0078] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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Abstract

The embodiment of the invention belongs to the field of artificial intelligence, and relates to a method for establishing an expression recognition model, which comprises the following steps: acquiring multiple pieces of first training image data and multiple pieces of second training image data; obtaining clustering centers corresponding to the multiple pieces of target image data and reference images corresponding to the multiple pieces of target image data according to the feature values; randomly extracting two pieces of target image data of different reference images as first input imagedata to obtain a plurality of pieces of first input image data corresponding to the clustering center; randomly extracting second input images corresponding to different clustering centers to obtain aplurality of pieces of second input image data; and inputting the first input image, the second input image and the clustering center corresponding to the first input image into the EmtionNet. In addition, the invention also relates to a blockchain technology, and the first training image data and the second training image data can be stored in the blockchain. The invention further provides a device for establishing the expression recognition model, computer equipment and a storage medium. And the expression recognition accuracy is improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a method, device, computer equipment and storage medium for establishing an expression recognition model. Background technique [0002] Facial expression recognition is an important field of artificial intelligence. In visual tasks, the application prospect is extremely broad; The global and individual student status can be responded in a timely manner, so as to guide educators to flexibly change the way of educational interaction and improve the conversion rate of educational achievements; it is also used in security, smart city, online education, human-computer interaction, and crime analysis. In the 20th century, experts proposed seven types of basic expressions through cross-cultural research, namely anger, fear, disgust, happiness, sadness, surprise and neutrality, and analyzed the current expression recognition methods based on deep learning. Usually expres...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06K9/62
CPCG06N3/08G06V40/174G06N3/045G06F18/23213G06F18/2415Y02T10/40
Inventor 张展望田笑周超勇刘玉宇
Owner PING AN TECH (SHENZHEN) CO LTD
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