摘要
本文给出一种摄像系统内部参数尺度因子的测定方法,其特色在于简易性和鲁棒性。此法基于文中建立的一个严密的摄像系统构像几何方程,同时在测定中采取了一系列技术以充分克服摄像系统各项误差源的影响,而测定控制装置仅需要一个平面控制网板。实验测定精度:图像像素间距误差低于0.05μm,尺度因子误差小于0.5%。
A robust method for measuring the scale factor of intrinsic camera parameters is proposed. Based on the analysis of the process of image signal transformation, the exact equations of imaging geometry are formulated. Moreover, some techniques are applied for reducing the influence of error sources from camera system. As a result, 0.05um accuracy of image pixel spacing and 0.5% accuracy of scale factor are obtained from the experiments. Though only a coplanar control grid panel is needed in the measuring experiment. It has been showed that the simplicity and robustness are the two major characteristics of the method.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1995年第3期248-254,共7页
Pattern Recognition and Artificial Intelligence
关键词
摄像系统
尺度因子
鲁棒性
测定
Computer Vision, Machine Vision System, Camera Calibration, Scale Factor.
