Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings

Research Article

Research on Azimuth Measurement Method of CCD Camera Based on Computer 3D Vision System

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  • @INPROCEEDINGS{10.1007/978-3-030-69066-3_38,
        author={Yixiong He and Yiqun Zhang and Weizhi Wang and Su Ma},
        title={Research on Azimuth Measurement Method of CCD Camera Based on Computer 3D Vision System},
        proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings},
        proceedings_a={AICON},
        year={2021},
        month={7},
        keywords={Artificial intelligence Three-dimensional vision system CCD camera Azimuth measurement},
        doi={10.1007/978-3-030-69066-3_38}
    }
    
  • Yixiong He
    Yiqun Zhang
    Weizhi Wang
    Su Ma
    Year: 2021
    Research on Azimuth Measurement Method of CCD Camera Based on Computer 3D Vision System
    AICON
    Springer
    DOI: 10.1007/978-3-030-69066-3_38
Yixiong He1, Yiqun Zhang1, Weizhi Wang1, Su Ma1
  • 1: Research Center of Networks and Communication

Abstract

In the field of artificial intelligence (AI), three-dimensional (3D) vision system is increasingly used to obtain 3D information of targets. In this paper, a method for measuring the azimuth of CCD camera’s apparent axis with high precision applied to 3D vision system is proposed. The azimuth angle of the apparent axis of CCD camera can be easily and accurately measured by using the laser projection transfer method through the horizontal two-dimensional turntable and the linear laser, which provides a method for 3D vision system calibration. This paper introduced the principle of measuring angles of the system, deduced the equation of coordinate transformation of the system, and made systematic error analysis. The results show that the measurement accuracy and reliability of this method meet the needs of 3D vision system calibration, which is much higher than the measurement accuracy and stability of geomagnetic sensors.