Shao-jie Sun, Xiao-dong Yang
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引用次数: 3

摘要

计算机视觉已广泛应用于工业、农业、军事、交通等领域。摄像机标定是视觉系统的一个重要研究领域。提出了一种适用于工业现场的柔性高精度电荷耦合器件(CCD)摄像机标定方法。介绍了针孔模型,并将其应用于标定过程中。为了提高标定精度,在实现基于OpenCV的标定时考虑了透镜的径向畸变和切向畸变。这种算法对图像处理和计算机视觉的应用设计具有实用价值。实验结果表明,该方法是可行的,具有较高的精度。该方法可以很好地满足视觉检测或其他视觉系统的应用需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of CCD Camera Calibration Based on OpenCV
Computer vision has been widely used in industry, agriculture, military, transportation area and so on. Camera calibration is very important and also the key research field of vision system. In this paper, a flexible high-precision Charge Coupled Device (CCD) camera calibration method suitable for industrial field is proposed. The pin-hole model has been introduced and applied in process of calibration. Specially, in order to improve the accuracy, both radial and tangential lens distortion have been taken into account during the implement of calibration based on OpenCV. This kind of arithmetic has practical value on the application design of image processing and computer vision. The experimental results show that proposed approach is feasible, with high precision. The method can meet the application need of visual inspection or other vision systems well.
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