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Facial expression recognition method and device based on expression intensity label distribution

A facial expression and recognition method technology, applied in the field of image recognition, can solve the problems of low accuracy of expression recognition, lack of expression intensity labeling, and difficulty in achieving accurate labeling, etc.

Active Publication Date: 2020-02-07
HUAZHONG NORMAL UNIV
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Problems solved by technology

[0005] Aiming at at least one problem or improvement demand in the prior art, the present invention provides a facial expression recognition method, device and computer-readable medium based on the distribution of expression intensity labels, which can solve the problem of lack of expression intensity labels in the prior art. Training data, difficult to achieve accurate labeling and low accuracy of facial expression recognition

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  • Facial expression recognition method and device based on expression intensity label distribution
  • Facial expression recognition method and device based on expression intensity label distribution
  • Facial expression recognition method and device based on expression intensity label distribution

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[0065] 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. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0066] A flow chart of a facial expression analysis method based on expression intensity label distribution in an embodiment of the present invention is as follows figure 1 As shown, the method includes a training part and a testing part.

[0067] The training part includes the following steps:

[0068] (S1) Extract the face image sequence of the sample image, the training face image sequence ...

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Abstract

The invention relates to a facial expression analysis method and a device based on expression intensity label distribution, and a computer readable medium. The method comprises the following steps: automatically encoding a face image sequence to generate an expression intensity label; and selecting neutral expressions and non-neutral expressions from the expression sequence as input, training theinput data by adopting a convolutional neural network to obtain an expression recognition model, and predicting the category of the expression image and the intensity of the category according to thejoint expression intensity distribution output by the expression recognition model. According to the method, the training data of expression intensity labeling can be obtained, so that the correctnessand robustness of expression recognition are improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a facial expression recognition method, device and computer-readable medium based on expression intensity label distribution. Background technique [0002] Facial expression recognition is a comprehensive subject involving pattern recognition, image processing, artificial intelligence and other disciplines. The so-called facial expression recognition refers to allowing the computer to extract features from a given expression image and combine the prior knowledge of human beings. , to start the process of learning, reasoning, judgment, and understanding of human emotions. Facial expression recognition is widely used in emotional computing, human-computer interaction, emotional robotics, medical care and other fields, and is a current research hotspot. [0003] Facial expression recognition is mainly composed of two parts: expression recognition and expressio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/174G06N3/045G06F18/214
Inventor 徐如意陈靓影杨宗凯郭琛
Owner HUAZHONG NORMAL UNIV
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