• Title/Summary/Keyword: 체커보드 유형

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Comparison of the Accuracy of Stereo Camera Calibration According to the Types of Checkerboards (체커보드의 유형에 따른 스테레오 카메라 캘리브레이션의 정확도 비교)

  • Kim, Eui Myoung;Kwon, Sang Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.6
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    • pp.511-519
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    • 2020
  • For camera calibration, a checkerboard is generally used to determine the principal point, focal length, and lens distortions. The checkerboard has a planar and three-dimensional shape, and camera calibration parameters are affected by the size of the checkerboard, the placement of the target, and the number of target points. In this study, the accuracies of the types of checkerboards were compared using checkpoints for stereo camera calibration, and the purpose of this study was to propose the best performance checkerboard. The checkerboard with large flat shape showed comparatively high accuracy through comparison with the check points. However, due to the size of the checkerboard, it was inconvenient to move and rotate, and there was a disadvantage in that it was difficult to shoot so that the target points could all appear in the stereo camera. The checkerboard, which was manufactured in a small size in a flat shape, was easy to move and rotate but had the lowest three-dimensional accuracy. The checkerboard with targets with height values had the hassle of having to determine the three-dimensional coordinates of the target points by using observation equipment for camera calibration, but it was small in size, convenient to move and rotate, and showed the highest three-dimensional accuracy.

Evaluating the Accuracy of an OpenCV-Based Length Measurement Algorithm: The Impact of Checkerboard Type and Capturing Conditions (체커보드 종류 및 촬영조건에 따른 OpenCV 기반 길이측정 알고리즘 정확도 분석)

  • Kim, Hyeonmin;Kwon, Woobin;Kim, Harim;Kim, Hyungjun;Song, Seung Ho;Cho, Hunhee
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.1
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    • pp.133-144
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    • 2024
  • The OpenCV-based length measurement algorithm is anticipated to be effective for length measurement inspection tasks, providing objective inspection outcomes. Nonetheless, there is a notable gap in research regarding the influence of various checkerboard types and capturing conditions on the algorithm's accuracy in real-world construction settings. Consequently, this study proposes a methodology employing an OpenCV-based length measurement algorithm and checkerboard for digital construction inspection tasks. The findings suggest that using a checkerboard with square sizes of A4 or larger, and 50mm or larger, is optimal for capturing distances and angles within 4m and 90°, respectively, when deploying the algorithm. These insights are anticipated to provide practical guidelines for professionals conducting digital-based length measurement inspections.