计算机科学 ›› 2011, Vol. 38 ›› Issue (8): 272-274.
• 图形图像 • 上一篇 下一篇
王志良，张琼，迟健男，史雪飞
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基金资助:
WANG Zhi-liang,ZHANG Qiong,CHI Jian-nan,SHI Xue-fei
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摘要： 对于精度要求高、成本低或使用广角镜头的系统，在标定摄像机参数时需要校正镜头畸变。通常在摄像机标定算法中，镜头畸变参数的校正和摄像机参数求解都结合在一起，增加了算法的复杂性，并且依赖标定模板。针对以上问题，提出了一种新的标定方法，即不需要标定模板，也不需要确定空间点的精确坐标。首先通过直线的射影不变性校正镜头畸变参数，再根据直线的正交性标定摄像机内参数。仿真实验和真实图像实验结果表明，在直线特征明显的场合，该方法精度高，可靠有效。
关键词: 机器视觉，摄像机标定，畸变校正，直线特征
Abstract: In low cost cameras and widcangle cameras, lens distortion should be calibrated. In traditional methods, camera's interior parameters and lens distortion are calibrated together. In this work,we presented a method to calibrate distortion and camera's parameters, without any calibration objects and 3D coordinates. Lens distortion was corrected based on the projective invariant of straight lines,orthogonal straight lines were used to calibrate camera's interior parameters. The accuracy and availability of the method were verified on the experimental result of simulation and real data.
Key words: Machine vision, Camera calibration, Distortion calibration, Linc
王志良，张琼，迟健男，史雪飞. 基于直线射影特征的摄像机参数标定方法[J]. 计算机科学, 2011, 38(8): 272-274. https://doi.org/
WANG Zhi-liang,ZHANG Qiong,CHI Jian-nan,SHI Xue-fei. Camera Calibration Based on Projective Lines[J]. Computer Science, 2011, 38(8): 272-274. https://doi.org/
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