摘要
针对现有Tsai算法在实施摄像机标定时人机交互不足、操作灵活性差的缺点,开发了基于Visual C++6.0的Tsai算法标定可视化操作平台。该平台可以通过人机交互自由选择标定点的分布区域和数量,通过测距实验重点分析了标定点数量及其位置分布对标定结果的影响,并根据实验结果对Tsai标定点的合理选择提出了建议,从而解决了现有算法实施中标定点选择固化、缺乏合理性判断依据的问题。实验结果验证了该平台的应用提高了Tsai算法的操作灵活性。
In view of the disadvantages of existing Tsai algorithm,that it is lacking in human-computer interaction and poor operating flexibility in implementation of camera calibration,Tsai algorithm calibration visualization platform is developed in this paper based on Visual C++6.0,and it is applied in the experiment on binocular stereo vision calibration and location.The experimental analysis is focused on the impact of the number and position distribution of calibration points on the result for calibration values.According to the experiment results,suggestions on reasonable choice of Tsai calibration points are proposed,and the improved operation flexibility for Tsai algorithm is validated by the experiment.
作者
马涛
MA Tao(Nanjing Kangni Electrical Technology Co.,Ltd.,Nanjing 210038,China)
出处
《机械制造与自动化》
2019年第6期195-198,共4页
Machine Building & Automation
关键词
Tsai算法
VC
可视化
双目立体视觉
标定
Tsai algorithm
VC
visualization
binocular stereo vision
calibration
