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Non-Metric CCD Camera Calibration Algorithm in a Digital Photogrammetry System

机译:数字摄影测量系统中的非度量CCD摄像机标定算法

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摘要

Camera calibration is a critical process in photogrammetry and a necessary step to acquire 3D information from a 2D image. In this paper, a flexible approach for CCD camera calibration using 2D direct linear transformation (DLT) and bundle adjustment is proposed. The proposed approach assumes that the camera interior orientation elements are known, and addresses a new closed form solution in planar object space based on homogenous coordinate representation and matrix factorization. Homogeneous coordinate representation offers a direct matrix correspondence between the parameters of the 2D DLT and the collinearity equation. The matrix factorization starts by recovering the elements of the rotation matrix and then solving for the camera position with the collinearity equation. Camera calibration with high precision is addressed by bundle adjustment using the initial values of the camera orientation elements. The results show that the calibration precision of principal point and focal length is about 0.2 and 0.3 pixels respectively, which can meet the requirements of close-range photogrammetry with high accuracy.
机译:相机校准是摄影测量的关键过程,也是从2D图像获取3D信息的必要步骤。本文提出了一种使用2D直接线性变换(DLT)和束调整的CCD摄像机标定的灵活方法。所提出的方法假设照相机内部定向元素是已知的,并且基于均匀的坐标表示和矩阵分解来解决平面物体空间中的新闭合形式解决方案。均质坐标表示提供了二维DLT参数和共线性方程之间的直接矩阵对应关系。矩阵分解开始于恢复旋转矩阵的元素,然后使用共线性方程式求解摄像机位置。通过使用摄像机方向元素的初始值进行束调整,可以实现高精度的摄像机校准。结果表明,主点和焦距的标定精度分别为0.2像素和0.3像素,可以满足近距离摄影测量法的高精度要求。

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