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A virtual binocular three-dimensional reconstruction method based on structured light

A three-dimensional reconstruction and structured light technology, applied in the field of computer vision, can solve the problems of high cost of active vision hardware, difficulty in feature extraction and matching, etc., and achieve the effect of simplifying binocular stereo vision calibration, saving hardware costs, and saving costs.

Inactive Publication Date: 2019-01-11
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology combines two methods - Active Vision (AV) and Binocular Stereovision (BS). These techniques work together by adding special patterns onto objects' surfaces instead of just looking at them themselves without actually measuring their properties or shape. By doing this they enhance how well these things look like compared to previous technologies only showing what was previously possible. Additionally, it suggests creating an improved robot called BS that helps reduce errors during image processing and saves money when needed. Overall, this technology improves both precision and cost reduction over existing systems.

Problems solved by technology

This patented describes different ways to create accurate depth maps (BMs) during medical procedures such as surgery or dentistry. However, current techniques have limitations due to their lack of precision and efficient processability at small surfaces like teeth, gums, bone tissue, skin, muscle, blood vessels, nerves, cartilage, joint fluid, tendons, ligaments, spine structures, lungs, heart valves, brain stem cells, liver stones, kidneys, pancreas, urinary bladders, eye cornea, sclera, meniscus, pericardium, cardiovascular system components, neural networks, skeletal structure, connectivity between these systems, sensors, actuators, and other parts involved in biological processes involving human body movements. These technical problem addressed by this patents include improving the quality and consistency of BOM data used in various fields including medicine, science education, training simulations, industrial design, manufacturing, and analysis purposes.

Method used

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  • A virtual binocular three-dimensional reconstruction method based on structured light
  • A virtual binocular three-dimensional reconstruction method based on structured light
  • A virtual binocular three-dimensional reconstruction method based on structured light

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Embodiment 1

[0057] Please refer to figure 1 with figure 2 , a virtual binocular three-dimensional reconstruction method based on structured light, comprising the following steps:

[0058] S1. Build a virtual binocular stereo vision system, wherein the binocular stereo vision system includes a video camera;

[0059] Described step " build virtual binocular stereo vision system, wherein, described binocular stereo vision system comprises video camera " comprises the following sub-steps:

[0060] A horizontal mechanical arm is erected above the image;

[0061] When a single camera is located at the left end of the robotic arm, it is set as the left camera, and when a single camera moves from the left end of the robotic arm to the right end of the robotic arm, it is set as the right camera.

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Abstract

A virtual binocular three-dimensional reconstruction method based on structured light comprises the following steps: constructing a virtual binocular stereoscopic vision system, wherein the binocularstereoscopic vision system comprises a camera; calibrating the camera and obtaining the internal and external parameters of the camera; according to the internal and external parameters of the camera,obtaining the distortion mapping matrix; projecting regular structured light to the object to increase the surface texture of the reconstructed object; using the camera of binocular stereo vision system to capture the left and right images of the reconstructed object, and carrying out stereo correction on the images; extracting and matching the left image and the right image, and obtaining the parallax of the corresponding matching points on the left image and the right image with respect to the point P on the object; combining the internal and external parameters of the camera, and obtainingthe sparse three-dimensional coordinates of the object by using the parallax principle; according to the sparse three-dimensional coordinates of the object, generating the sparse point cloud image ofthe object, and completing the three-dimensional reconstruction of the object. The method is conducive to improving the accuracy and efficiency of three-dimensional reconstruction, and saves the cost.

Description

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Claims

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Application Information

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Owner GUANGDONG UNIV OF TECH
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