A 3D Machine Vision-Enabled Intelligent Robot Architecture | Zendy

Yanjun Zhang | Zendy; Jianxin Zhao | Zendy; Han He-yong | Zendy

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A 3D Machine Vision-Enabled Intelligent Robot Architecture

Author(s) -

Yanjun Zhang,

Jianxin Zhao,

Han He-yong

Publication year - 2021

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2021/6617286

Subject(s) - computer science , computer vision , artificial intelligence , camera resectioning , monocular , calibration , binocular vision , preprocessor , monocular vision , robustness (evolution) , machine vision , mathematics , biochemistry , statistics , chemistry , gene

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.

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