吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 944-951.doi: 10.13229/j.cnki.jdxbgxb201703035

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Camera calibration based on computer vision and surveying adjustment fundamentals

WANG Feng-yan1, 2, HUANG Run-qiu2, CHEN Jian-ping3, ZHANG Yuan-yuan4, WANG Ming-chang1   

  1. 1.College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
    2.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China;
    3.College of Construction Engineering, Jilin University, Changchun 130026, China;
    4.Institute of Engineering Detecting and Monitoring, Beijing Engineering Corporation Limited, Beijing 100038, China
  • Received:2016-02-22 Online:2017-05-20 Published:2017-05-20

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Abstract: On the basis of the pinhole model with radial and tangential distortions in computer vision, mathematical models of camera calibration based on computer vision and surveying adjustment fundamentals were established. Taking chess grid of Liquid Crystal Display (LCD) as reference object for camera calibration, Microsoft Visual Studio as the development platform, camera calibration software, Camera Calibration 1.0, was programmed based on MFC and OpenCV. Through calibration experiments for Canon 5D Marx II digital camera, and comparison with commercial software Lensphoto of close rang photogrammetry system, it was shown that the errors of calibration parameters were within ±1 pixel, and the correctness of the established camera calibration models was verified. The reliability of the Camera Calibration 1.0 software was validated. The precision evaluation of calibration parameters was achieved using the established calibration models, which overcomes the limit in conventional computer vision that only single precision for projecting errors of image point coordinates was evaluated. Furthermore, the method developed in this study was applied to the discontinuity investigation of the slope of Yangjiagou quarry in Changchun. The information of a large number of random discontinuities of rock mass slop was obtained to provide the full and accurate data for stability evaluation of the slop.

Key words: computer application, camera calibration, surveying adjustment fundamentals, OpenCV, chess grid, discontinuities

CLC Number: 

  • TP391
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