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A Monocular Camera Calibration Method for Extrinsic Parameters under Traffic Environment

机译:交通环境下外部参数的单目相机标定方法

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According to the characteristics of traffic camera calibration, a method for extrinsic parameters calibration is proposed based on four control points. The initial value of the iterations is solved by pinhole camera model equations. Then the constraints of the orthogonal matrix are added to amend the result using GLS (generalized least squares) and Newton-Raphson method. Measured on a simulated setting, tests showed that comparing with the traditional method considering no nonlinear constraints, this method uses less control points to achieve higher calibration accuracy and reduces the outdoor workload.
机译:针对交通摄像机标定的特点,提出了一种基于四个控制点的外部参数标定方法。迭代的初始值通过针孔相机模型方程求解。然后,使用GLS(广义最小二乘法)和Newton-Raphson方法,添加正交矩阵的约束条件以修正结果。在模拟设置上进行测量,测试表明,与不考虑非线性约束的传统方法相比,该方法使用较少的控制点来实现更高的校准精度并减少了户外工作量。

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