Multi-task facial action recognition model training and multi-task facial action recognition method

A facial movement and recognition model technology, applied in the computer field, can solve problems such as single detection and lack of diversity

Active Publication Date: 2020-03-17
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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Problems solved by technology

However, the traditional facial action recognition model does not consider that there may be other related target tasks, it can only perform a single detection, and lacks diversity

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  • Multi-task facial action recognition model training and multi-task facial action recognition method
  • Multi-task facial action recognition model training and multi-task facial action recognition method

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[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.

[0050] The multi-task facial action recognition model training method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. The server 104 receives the model training instruction sent by the terminal 102, and the server 104 responds to the model training instruction to collect the facial action recognition data set; the server 104 performs face detection and face alignment on the facial action images in the facial action recognition data set to o...

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Abstract

The invention relates to a multi-task facial action recognition model training method based on a neural network, a multi-task facial action recognition method, computer equipment and a storage medium.The method comprises the following steps: acquiring a facial action recognition data set; performing face detection and face alignment on the face action image in the face action recognition data setto obtain a key point label image; detecting the angle of a human face in the key point label image according to a preset standard image to obtain a multi-task label image comprising an angle label;and inputting the multi-task label image into a preset residual neural network to perform multi-task training on the residual neural network, and taking the trained residual neural network as a multi-task facial action recognition model. By adopting the method, the diversity of facial action recognition can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a multi-task facial action recognition model training method, a multi-task facial action recognition method, computer equipment and storage media. Background technique [0002] Face recognition is also called facial recognition. Facial action recognition refers to the ability to recognize specific facial expressions. Facial action recognition is related to the shape, position and geometric relationship of facial features. [0003] The traditional open source recognition method is to use the facial action recognition model to classify and optimize the target. However, the traditional facial action recognition model does not consider that there may be other related target tasks, and can only perform a single detection, lacking diversity. Contents of the invention [0004] Based on this, it is necessary to provide a multi-task facial action recognition model training ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/171G06V40/161G06N3/045G06F18/22G06F18/214Y02D10/00
Inventor 罗琳耀徐国强邱寒
Owner PING AN TECH (SHENZHEN) CO LTD
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