A 3D Machine Vision-Enabled Intelligent Robot Architecture

In this paper, the principle of camera imaging is studied, and the transformation model of camera calibration is analyzed. Based on Zhang Zhengyou’s camera calibration method, an automatic calibration method for monocular and binocular cameras is developed on a multichannel vision platform. The auto...

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Main Authors: Yanjun Zhang, Jianxin zhao, Heyong Han
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2021/6617286
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spelling doaj-90ee91b96d914256af0252223d98980f2021-07-02T17:03:12ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/6617286A 3D Machine Vision-Enabled Intelligent Robot ArchitectureYanjun Zhang0Jianxin zhao1Heyong Han2College of Mechanical EngineeringCollege of Mechanical EngineeringCollege of Mechanical EngineeringIn this paper, the principle of camera imaging is studied, and the transformation model of camera calibration is analyzed. Based on Zhang Zhengyou’s camera calibration method, an automatic calibration method for monocular and binocular cameras is developed on a multichannel vision platform. The automatic calibration of camera parameters using human-machine interface of the host computer is realized. Based on the principle of binocular vision, a feasible three-dimensional positioning method for binocular target points is proposed and evaluated to provide binocular three-dimensional positioning of target in simple environment. Based on the designed multichannel vision platform, image acquisition, preprocessing, image display, monocular and binocular automatic calibration, and binocular three-dimensional positioning experiments are conducted. Moreover, the positioning error is analyzed, and the effectiveness of the binocular vision module is verified to justify the robustness of our approach.http://dx.doi.org/10.1155/2021/6617286
collection DOAJ
language English
format Article
sources DOAJ
author Yanjun Zhang
Jianxin zhao
Heyong Han
spellingShingle Yanjun Zhang
Jianxin zhao
Heyong Han
A 3D Machine Vision-Enabled Intelligent Robot Architecture
Mobile Information Systems
author_facet Yanjun Zhang
Jianxin zhao
Heyong Han
author_sort Yanjun Zhang
title A 3D Machine Vision-Enabled Intelligent Robot Architecture
title_short A 3D Machine Vision-Enabled Intelligent Robot Architecture
title_full A 3D Machine Vision-Enabled Intelligent Robot Architecture
title_fullStr A 3D Machine Vision-Enabled Intelligent Robot Architecture
title_full_unstemmed A 3D Machine Vision-Enabled Intelligent Robot Architecture
title_sort 3d machine vision-enabled intelligent robot architecture
publisher Hindawi Limited
series Mobile Information Systems
issn 1875-905X
publishDate 2021-01-01
description In this paper, the principle of camera imaging is studied, and the transformation model of camera calibration is analyzed. Based on Zhang Zhengyou’s camera calibration method, an automatic calibration method for monocular and binocular cameras is developed on a multichannel vision platform. The automatic calibration of camera parameters using human-machine interface of the host computer is realized. Based on the principle of binocular vision, a feasible three-dimensional positioning method for binocular target points is proposed and evaluated to provide binocular three-dimensional positioning of target in simple environment. Based on the designed multichannel vision platform, image acquisition, preprocessing, image display, monocular and binocular automatic calibration, and binocular three-dimensional positioning experiments are conducted. Moreover, the positioning error is analyzed, and the effectiveness of the binocular vision module is verified to justify the robustness of our approach.
url http://dx.doi.org/10.1155/2021/6617286
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