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Sensitivity of the pose refinement problem to accurate estimation of camera parameters

机译:姿势细化问题的敏感性,以准确估计相机参数

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A study is made of the effect of errors in estimates of the image center and focal length on pose refinement and other related (3-D inference from 2-D images) problems/algorithms. The authors show that for 'small' field of view imaging systems, incorrect knowledge of the camera center does not affect the determination of the location of the camera significantly. Incorrect estimates of the focal length only significantly affect the determination of the z-component (i.e. parallel to the optical axis) of the translation in camera coordinates. The output of the pose refinement algorithm is used to calculate the relative orientation between the coordinate frames of the same camera in two or more different positions as a prelude to computation of 3-D depths of new points by pseudo-triangulation. A model of error for this depth based on the amount of error in placing the image center conforms to the errors obtained for experiments with synthetic and real data. New points are located to an average accuracy of 1.5 mm and 0.3 ft for the two real image sequences respectively.
机译:研究是对姿势细化的图像中心和焦距的估计误差的影响,以及其他相关(来自2-D图像的3-D推断)问题/算法。作者表明,对于“小”观看成像系统,对相机中心的错误知识不会显着影响相机的位置。焦距的错误估计仅显着影响相机坐标中的转换的Z组件(即,与光轴)的确定。姿势细化算法的输出用于计算在两个或多个不同位置的相同摄像机的坐标帧之间的相对取向,作为通过伪三扫描计算新点的3-D深度的前奏。基于将图像中心的误差量符合具有合成和实际数据的实验所获得的错误的基于误差的误差模型。新点分别位于平均精度为两个真实图像序列的1.5 mm和0.3英尺。

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