In this paper, we introduce the camera model calibration algorithms and adopt a method of moving a single camera to calibrate parameters of traffic monitoring system.
本文研究了摄像机模型的标定方法,采用了通过一台摄像机平行移动来模拟两个摄像机的标定方法,达到标定系统参数的目的。
Correcting the distorted image of camera in calibration process of fringe projection measurement system that can effectively improve the calibration accuracy of system.
在条纹投射测量系统的标定过程中对摄像机畸变图像进行修正,能有效地提高系统的标定精度。
The imaging model of the camera is analyzed; the calibration principle of robot eye-in-hand system is discussed.
对摄像机成像模型进行了分析,论述了机器人手眼系统标定原理。
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