3D human body reconstruction method based on infrared thermal imaging

A technology of infrared thermal imaging and human body, which is applied in 3D modeling, image enhancement, image analysis, etc., can solve the problems that do not meet the needs of real-time infrared image human body model reconstruction, and achieve the goal of increasing contrast and visual effect, and improving enhancement effect Effect

Active Publication Date: 2021-07-13
CHENGDU UNIVERSITY OF TECHNOLOGY
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to: 3D human body reconstruction method based on infrared thermal imaging, to solve the defect that the existing human body three-dimensional model reconstruction methods based on visible light environment are not satisfied with real-time infrared image human body model reconstruction requirements

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 3D human body reconstruction method based on infrared thermal imaging
  • 3D human body reconstruction method based on infrared thermal imaging
  • 3D human body reconstruction method based on infrared thermal imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Such as figure 1 and 5 As shown, the 3D human body reconstruction method based on infrared thermal imaging includes the following steps:

[0055] Step 1, making an infrared human body image;

[0056] Step 2. Enhance the infrared human body image, control the distribution of the lateral suppression coefficient by changing the bimodal Gaussian distribution function, and control the contrast by changing the gray scale of the image;

[0057] Step 3. Make a 3D human body model for infrared human body image registration, and perform SMPL-X parameterization on the 3D human body model to obtain human body shape, human body posture, and human face parameters. A single infrared human body image is used as input, and the output is human body shape parameters , the multidimensional vector of the combination of human body posture parameters and human face parameters, each model parameter is used as a real label, and paired to generate a data set;

[0058] Step 4. Construct the hu...

Embodiment 2

[0063] On the basis of Example 1, in step 1, an infrared thermal imager is used to collect an infrared human body image, and the infrared thermal imager is deployed in a dark environment without light at night and in a harsh environment with smog, and the collected infrared human body image Convert to a single-channel digital image format.

Embodiment 3

[0065] On the basis of embodiment 1, in step 2, the suppression coefficient refers to the distance between pixel units:

[0066]

[0067] In formula 1, x1, y1, x2, y2 are the vector coefficients of pixel units (x1, y1), (x2, y2);

[0068] bimodal Gaussian distribution function It is found on the basis of the Gaussian distribution function, and the specific form is:

[0069]

[0070] σ in formula 2 1 , σ 2 is the width of the bimodal Gaussian function, μ 1 , μ 2 is the location parameter of the bimodal Gaussian function, β, β 1 , β 2 , σ 1 , σ 2 , μ 1 , μ 2 are constants.

[0071] When β=1, β 1 = β 2 = 2, μ 1 =μ 2 =0, π=3.14, the form of the isotropic bimodal Gaussian distribution function is:

[0072]

[0073] Converting the isotropic bimodal Gaussian distribution function in formula 3 into the heterotropic bimodal Gaussian function, we get:

[0074]

[0075] Rotate the function in Equation 4 counterclockwise by angle α, define the coordinates bef...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a 3D human body reconstruction method based on infrared thermal imaging, belongs to the field of computer vision processing, and aims to overcome the defect that a human body three-dimensional model reconstruction method based on a visible light environment does not meet the real-time infrared image human body model reconstruction demand, and the method comprises the following steps: making an infrared human body image; enhancing the infrared human body image; making a 3D human body model of infrared human body image registration; constructing an infrared thermal imaging 3D human body reconstruction network; 5, training the infrared thermal imaging 3D human body reconstruction network; testing the performance of the infrared thermal imaging 3D human body reconstruction network; and evaluating the performance of the infrared thermal imaging 3D human body reconstruction network. Three-dimensional human body reconstruction is carried out by adopting a single infrared thermal imaging image, and the invention is suitable for detection environments which cannot be dealt with by visible light cameras and common digital night vision devices, such as environments without light at night, environments with weather influence such as smoke and the like, and has great application value in the technical fields of security and virtual reality and the like in severe weather environments.

Description

technical field [0001] A 3D human body reconstruction method based on infrared thermal imaging belongs to the technical field of computer vision processing, and in particular relates to a 3D human body reconstruction method in image processing. Background technique [0002] With the development of computer vision processing technology, 3D reconstruction technology is mainly used in augmented reality and virtual reality technology. The imaging principle of the infrared thermal imaging system is to convert the infrared specific band signal of the thermal radiation of the object into an image. The imaging of the infrared thermal imaging system is not affected by changes in illumination, smoke, fog, trees and other obstacles. It is suitable for target recognition and detection in dark and harsh weather environments. It has a strong role in search and rescue, military, security, driving assistance and other fields. Value. With the development of machine vision and artificial in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T5/00
CPCG06T17/00G06T5/003G06T2207/10048G06T2207/10012Y02T10/40
Inventor 易诗李俊杰张鹏宋畅汪子雯
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap