Expression recognition model construction method and system

An expression recognition and construction method technology, applied in the field of data processing, can solve the problems of difficulty in large-scale construction and acquisition of expression data sets, inability to meet training requirements, and interference in facial expression recognition, and achieve the effect of improving accuracy.

Active Publication Date: 2019-07-12
CHINA HUA RONG HLDG
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Problems solved by technology

[0003] At present, the facial expression recognition model construction method is difficult to achieve a high accuracy rate. The main problems are as follows: the accuracy of expression recognition based on deep learning often relies on a huge training da

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  • Expression recognition model construction method and system
  • Expression recognition model construction method and system
  • Expression recognition model construction method and system

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Embodiment Construction

[0045] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0046] The embodiment is basically as attached figure 1 Shown:

[0047] In this embodiment, the expression recognition model construction method includes:

[0048] S1: Acquire the source image and perform preprocessing. The source image in this embodiment can be an image or video including a human face. When the source image is a video, a frame in the video is randomly input as the image for preprocessing; the preprocessing is obtained For the image, the preprocessing in this embodiment can be to enhance the details of the source image through the Euler video magnification algorithm, and then extract the image according to the expression partition in the enhanced source image;

[0049] S2: Construct a deep learnin...

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Abstract

The invention relates to an expression recognition model construction method and system, and relates to the field of data processing. The method comprises: S1, acquiring and preprocessing a source image to obtain a preprocessed image; S2, constructing a deep learning model according to the source image and the preprocessed image, and introducing transfer learning to carry out weight training on the deep learning model to obtain an image pre-training model; S3, obtaining a fine adjustment model according to the image pre-training model; and S4, performing fine adjustment model training on the preprocessed image by using the fine adjustment model to obtain an expression recognition model. According to the scheme, the technical problem of how to improve the accuracy of the expression recognition model is solved, and the method is suitable for expression recognition.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and system for constructing an expression recognition model. Background technique [0002] At present, the construction methods of facial expression recognition models are mainly divided into two categories: one is based on the facial action coding system, which detects facial muscle movements and constructs the mapping relationship between them and emotions to achieve the purpose of expression recognition; It adopts the method of deep learning, through the end-to-end learning method, automatically extracts the characteristics of human expressions, and performs expression recognition. [0003] At present, the facial expression recognition model construction method is difficult to achieve a high accuracy rate. The main problems are as follows: the accuracy of expression recognition based on deep learning often relies on a huge training data set, and the expression data set ...

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/172G06V40/174G06N3/045
Inventor 伊文超史云飞朱丽霞王治国赵国强
Owner CHINA HUA RONG HLDG
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