Neck rotation identification method and system

A recognition method, neck technology, applied in the field of three-dimensional recognition

Active Publication Date: 2020-09-04
THE PEOPLES HOSPITAL OF GUANGXI ZHUANG AUTONOMOUS REGION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fundamental reason is that the facial landmarks are in a 2D low-dimensional space, and the solution of the facial pose needs to be upgraded to a 3D space, which results in endogenous limitations that cannot be broken through by this type of method.

Method used

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  • Neck rotation identification method and system
  • Neck rotation identification method and system

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Embodiment Construction

[0030] The specific implementation of the invention will be further described below in conjunction with the accompanying drawings.

[0031] A neck rotation recognition method, comprising the steps of:

[0032] 1) Initialization, before the neck rehabilitation training, the initial image of the face of the object to be recognized is obtained through the camera when it is facing the head-up camera and the neck does not rotate; during the neck rehabilitation training, the object is obtained through the camera or video during the neck turning process face image. The camera is a camera on a mobile phone, a tablet computer, a smart TV, or a mobile computer.

[0033] 2) Converting the initial image into a 256×256×3 input image.

[0034] 3) The trained encoder-decoder network reduces the input image to 8×8×512 feature maps through convolutional layers, and generates predicted 256×256×3 position maps through transposed convolutional layers for all convolutions The product or transpo...

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Abstract

The invention discloses a neck rotation identification method and system, and belongs to the three-dimensional identification technology. According to the method, a UV position map is designed, the UVposition map is a 2D image recording 3D coordinates of a complete face point cloud, and semantics are reserved at each UV position. Then, a simple encoder-decoder network with weighted loss is trained, which pays more effort on the feature region with better discrimination to return the UV position map from the single 2D facial image.

Description

technical field [0001] The invention relates to three-dimensional recognition technology, in particular to a neck rotation recognition method and system. Background technique [0002] For patients with nasopharyngeal carcinoma undergoing radiotherapy and chemotherapy, radiation exposure to the cervical spine may cause stiffness of the cervical spine joints, and they may even be unable to turn their heads. Therefore, patients need to perform neck training to prevent neck stiffness. There is currently no quantitative measure for the training effect. Therefore, it is planned to develop a neck joint Neck rotation training and recognition APP, that is, use the front camera of the Android phone to take pictures or use a small video to measure the angle of the horizontal rotation of the neck. If the steering angle is less than about 45°, it indicates that the cervical joints are beginning to harden and medical intervention is required. The key link in technical implementation is t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04A61B5/11
CPCA61B5/1121A61B5/1128G06V40/161G06V40/168G06V40/20G06N3/045
Inventor 傅桂芬李湘瞿申红蒋青玉黄晓艳韦嘉章黄玉英范顺悦
Owner THE PEOPLES HOSPITAL OF GUANGXI ZHUANG AUTONOMOUS REGION
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