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Calibration Method of Orthogonally Splitting Imaging Pose Sensor Based on General Imaging Model

机译:基于通用成像模型的正交分裂成像姿态传感器标定方法

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Orthogonally splitting imaging pose sensor is a new sensor with two orthogonal line array charge coupled devices (CCDs). Owing to its special structure, there are distortion correction and imaging model problems during the calibration procedure. This paper proposes a calibration method based on the general imaging model to solve these problems. The method introduces Plücker Coordinate to describe the mapping relation between the image coordinate system and the world coordinate system. This paper solves the mapping relation with radial basis function interpolation and adaptively selecting control points with Kmeans clustering method to improve the fitting accuracy. This paper determines the appropriate radial basis function and its shape parameter by experiments. And these parameters are used to calibrate the orthogonally splitting imaging pose sensor. According to the calibration result, the root mean square (RMS)of calibration dataset and the RMS of test dataset are 0.048 mm and 0.049 mm. A comparative experiment is conducted between the pinhole imaging model and the general imaging model. Experimental results show that the calibration method based on general imaging model applies to the orthogonally splitting imaging pose sensor. The calibration method requires only one image corresponding to the target in the world coordinates and distortion correction is not required to be taken into account. Compared with the calibration method based on the pinhole imaging model, the calibration procedure based on the general imaging model is easier and accuracy is greater.
机译:正交分裂成像姿态传感器是一种具有两个正交线阵列电荷耦合器件(CCD)的新型传感器。由于其特殊的结构,在校准过程中会出现失真校正和成像模型问题。本文提出了一种基于通用成像模型的标定方法来解决这些问题。该方法引入了普吕克坐标来描述图像坐标系与世界坐标系之间的映射关系。本文利用径向基函数插值法解决了映射关系,并采用Kmeans聚类方法自适应地选择了控制点,提高了拟合精度。本文通过实验确定了合适的径向基函数及其形状参数。这些参数用于校准正交分裂成像姿态传感器。根据校准结果,校准数据集的均方根(RMS)和测试数据集的RMS为0.048 mm和0.049 mm。在针孔成像模型和普通成像模型之间进行了对比实验。实验结果表明,基于通用成像模型的标定方法适用于正交分裂成像姿态传感器。该校准方法仅需要与世界坐标中的目标相对应的一幅图像,并且不需要考虑畸变校正。与基于针孔成像模型的标定方法相比,基于通用成像模型的标定程序更加简便,准确性更高。

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