Face-emotion recognition method, device, compute device and storage medium

A technology of emotion recognition and human face, which is applied in the field of computer equipment and storage media, devices, and facial emotion recognition methods, and can solve the problems of low recognition accuracy

Pending Publication Date: 2019-03-22
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method, device, computer equipment, and storage medium for fac

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  • Face-emotion recognition method, device, compute device and storage medium
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  • Face-emotion recognition method, device, compute device and storage medium

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Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] The face emotion recognition method provided by the embodiment of the present invention can be applied in such as figure 1 , where a client (computer device) communicates with a server over a network. The client sends the video data to be detected to the server, and the server uses the face detection algorithm to detect the face image to be detected, and obtains N target face image areas; according to the N target face image areas, the video dat...

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Abstract

The invention discloses a face emotion recognition method, a device, a computer device and a storage medium. Firstly, video data to be detected is obtained, and at least one face image to be detectedis extracted from the video data to be detected. A face detection algorithm is adopted to detect the face image to be detected, and N target face image regions of the video data to be detected are obtained, wherein N is a positive integer; N face video data to be recognized are obtained by video intercepting according to N target face image regions to be detected; N face video data to be recognized are input into a face emotion recognition model for recognition to obtain N face emotion information in the video to be detected, wherein the face emotion recognition model is based on a convolutionneural network. The length of recurrent neural network model training. The method directly recognizes the video data, avoids the lack of information represented by a single frame, and ensures the accuracy of face emotion recognition.

Description

technical field [0001] The invention relates to the field of micro-expression recognition, in particular to a method, device, computer equipment and storage medium for facial emotion recognition. Background technique [0002] With the continuous development of artificial intelligence technology, micro-expression recognition technology will be used as an auxiliary tool or auxiliary means in many fields. However, at present, most of the face micro-expression detection is detected through a single image or a single frame in a video, and there is a changing process of facial emotion, and a single frame cannot accurately reflect the facial emotion in the video. Therefore, the recognition accuracy of facial emotion recognition is poor. Contents of the invention [0003] Embodiments of the present invention provide a facial emotion recognition method, device, computer equipment, and storage medium to solve the problem of low recognition accuracy in the facial emotion recognition...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/174G06V20/41G06N3/045
Inventor 董洪涛
Owner PING AN TECH (SHENZHEN) CO LTD
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