Human trunk measuring method based on combination of deep learning and red point lasers

A deep learning and red dot technology, applied in the fields of computer vision and deep learning, can solve the problem of expensive calculation of human torso measurement equipment, and achieve the effect of solving large amount of calculation.

Inactive Publication Date: 2018-04-20
王华锋
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Problems solved by technology

[0020] The technical problem solved by the present invention is: aiming at the problem that the existing non-contact measurement method is too expensive for human body torso measurement equipment and has a large amount of calcu

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  • Human trunk measuring method based on combination of deep learning and red point lasers
  • Human trunk measuring method based on combination of deep learning and red point lasers
  • Human trunk measuring method based on combination of deep learning and red point lasers

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Embodiment Construction

[0044] The present invention will be described in more detail below in conjunction with the accompanying drawings.

[0045] Such as figure 1 As shown, a human body torso measurement method based on deep learning and red dot laser combination of the present invention, the implementation process includes: image acquisition (monocular camera after calibration, red dot laser transmitter), laser red dot based on opencv Point recognition, human torso detection based on deep learning, and calculation of human torso length. The specific implementation methods are as follows:

[0046] 1. Image acquisition

[0047] When collecting images, first fix the two red dot laser emitters with the camera, the two laser beams are parallel and perpendicular to the projection plane of the camera, so that the camera can capture two clear red dots and record the two red dot laser emissions In this step, the camera is calibrated, such as calibrating the parameters of the camera, including internal pa...

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Abstract

The present invention proposes a human torso measurement method based on the combination of deep learning and red-dot laser, which uses deep learning to detect the human torso of the target object from the image, and shoots two fixed and parallel red-dot lasers on the human body , and the position of the red point is detected from the image by the red point detection algorithm, the pixel distance of the red point is calculated, and the conversion between the pixel distance of the image and the actual distance is obtained according to the actual distance of the red point, and then according to the pixel length of the human torso The actual length of the human torso can be calculated. Compared with the existing human torso measurement, the present invention has the advantage of being able to carry out identification-based non-contact measurement on specific targets in real scenes.

Description

technical field [0001] The invention provides a human torso measurement method based on the combination of deep learning and red dot laser, and relates to the technical fields of deep learning and computer vision. Background technique [0002] Since the development of anthropometry, the measurement tools have developed from the initial tape measure and tape measure to high-precision measurement tools such as computers, sensors, and lasers. The measurement methods have been continuously improved and have high precision and efficiency. From the perspective of technological development, anthropometric technology can be divided into ordinary measurement technology and three-dimensional digital anthropometric technology. [0003] 1. Ordinary anthropometric measurement [0004] Ordinary anthropometric instruments can be related to general human physiological measurement instruments, including human body altimeter, right angle gauge, angle gauge, tripod parallel gauge, soft ruler,...

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Application Information

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IPC IPC(8): A61B5/107
CPCA61B5/1075A61B5/1079
Inventor 王华锋杜俊逸冯毅夫付明霞高皓琪马晨南齐一凡潘海侠
Owner 王华锋
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