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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Mobile Information Systems |
Online Access: | http://dx.doi.org/10.1155/2021/6617286 |
id |
doaj-90ee91b96d914256af0252223d98980f |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT yanjunzhang a3dmachinevisionenabledintelligentrobotarchitecture AT jianxinzhao a3dmachinevisionenabledintelligentrobotarchitecture AT heyonghan a3dmachinevisionenabledintelligentrobotarchitecture AT yanjunzhang 3dmachinevisionenabledintelligentrobotarchitecture AT jianxinzhao 3dmachinevisionenabledintelligentrobotarchitecture AT heyonghan 3dmachinevisionenabledintelligentrobotarchitecture |
_version_ |
1721326145336508416 |