双目立体视觉摄像机标定方法研究
Research on Binocular Stereo Camera Calibration Method
摄像机标定是双目立体视觉系统应用的关键技术。在分析OpenCV摄像机模型和现有双目视觉系统标定方法基础上,设计了双目摄像机标定算法,最终获得双目视觉系统摄像机内外部参数。鉴于角点提取在摄像机标定中的重要性,提出了渐变阈值角点提取算法,有效的进行了角点提取。实验表明,文中标定方法简单易行,标定结果稳定准确,能够满足双目立体视觉系统应用的要求。
amera calibration is a key technology of the application of the stereo visual system. On the basis of analyzing OpenCV camera model and the existing calibration method of binocular vision system, binocular camera calibration algorithm was designed to obtain the internal and external camera parameters. Considering the importance of the corner extraction in the camera calibration, a new corner extraction algorithm of gradient threshold was proposed, which can extract the corners effectively. The experiments show that this method is easy to be carried out and the calibration results are stable and accurate, which can satisfy the requirements of binocular stereo visual system application.
陈立鹏、马明明、徐国艳
电子技术应用
双目视觉摄像机标定摄像机模型角点提取渐变阈值
binocular visioncamera calibrationcamera modelcorner extractiongradient threshold
陈立鹏,马明明,徐国艳.双目立体视觉摄像机标定方法研究[EB/OL].(2011-08-09)[2025-07-25].http://www.paper.edu.cn/releasepaper/content/201108-145.点此复制
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