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Micro-expression recognition method, device, and storage medium

A recognition method and recognition device technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as slow calculation speed, low micro-expression recognition accuracy, low micro-expression recognition work efficiency, etc., to improve work Efficiency, speed-up effect

Active Publication Date: 2019-01-25
GCI SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the calculation speed of the global calculation method is slow, and the accuracy of micro-expression recognition is low, resulting in low work efficiency of micro-expression recognition

Method used

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  • Micro-expression recognition method, device, and storage medium
  • Micro-expression recognition method, device, and storage medium
  • Micro-expression recognition method, device, and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0045] See figure 1 , Which is a schematic flowchart of a micro-expression recognition method provided by an embodiment of the present invention. The method may be executed by a micro-expression recognition device, and specifically includes the following steps:

[0046] S100: Detect the face features of the target face image collected in advance, and obtain at least five face feature points of the target face image;

[0047] In the embodiment of the present invention, the micro-expression recognition device can be a computing device such as a computer, a mobile phone, a tablet computer, an access control device, a notebook computer, or a server, and the micro-expression recognition method can be integrated with the micro-expression as one of the functional modules. The expression recognition device is executed by the micro expression recognition device.

[0048] In the embodiment of the present invention, the micro-expression recognition device receives the target face image. It sho...

Embodiment 2

[0099] See Figure 4 , Which is a schematic block diagram of a micro-expression recognition device provided by an embodiment of the present invention, and the device includes:

[0100] The face feature detection module 1 is configured to detect the face features of a pre-collected target face image, and obtain at least five face feature points of the target face image;

[0101] The image dicing module 2 is configured to perform dicing processing on the target face image according to the facial feature points of the target face image and the preset image slicing rules to obtain several tiles;

[0102] The micro-expression recognition module 3 is used to obtain a micro-expression classification result through a pre-established convolutional neural network model according to the several tiles.

[0103] In an optional embodiment, the image dicing module 2 includes:

[0104] A first image segmentation line establishing unit, configured to establish multiple first image segmentation lines on ...

Embodiment 3

[0122] See Figure 5 , Is a schematic diagram of the micro-expression recognition device provided by the third embodiment of the present invention. The micro-expression recognition device includes: at least one processor 11, such as a CPU, at least one network interface 14 or other user interfaces 13, a memory 15, at least one communication bus 12, and the communication bus 12 is used to implement connection and communication between these components. The user interface 13 may optionally include a USB interface, other standard interfaces, and wired interfaces. The network interface 14 may optionally include a Wi-Fi interface and other wireless interfaces. The memory 15 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 15 may optionally include at least one storage device located far away from the aforementioned processor 11.

[0123] In some embodiments, the memory 15 stores the f...

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Abstract

The invention provides a micro-expression recognition method, a device and a storage medium. The method comprises the following steps: detecting the facial features of a target face image collected inadvance, and obtaining at least five facial feature points of the target face image; according to the facial feature points of the target face image and the preset image partitioning rules, cutting the target face image into blocks to obtain a plurality of blocks, according to the plurality of image blocks, obtaining the microexpression classification result through a convolution neural network model established in advance. According to the obtained facial feature points and preset image partitioning rules, the target face image is processed by slicing, and a plurality of image blocks obtained after slicing are recognized and classified by adopting a convolution neural network, so that the speed and the precision of the micro expression recognition can be effectively improved, and the working efficiency of the micro expression recognition can be greatly improved.

Description

Technical field [0001] The present invention relates to the technical field of micro-expression recognition, in particular to a micro-expression recognition method, device and storage medium. Background technique [0002] Micro-expressions are very short-lived facial expressions that cannot be controlled autonomously that are leaked when humans try to suppress or hide their true emotions. The difference between it and ordinary expressions is that the duration of micro expressions is very short, only 1 / 25 second to 1 / 5 second. Therefore, most people often have difficulty perceiving its existence. The rapid appearance of facial expressions that are not easily detectable is believed to be related to self-defense mechanisms and express suppressed emotions. However, the psychological and neural mechanisms of the generation and recognition of micro-expressions are still under study, and the frequency of micro-expressions is relatively low. The ordinary people's ability to recognize m...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/176G06V40/172
Inventor 杜翠凤温云龙蒋仕宝
Owner GCI SCI & TECH
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