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A flexible technique for calibrating relative position and orientation of two cameras with no-overlapping FOV

机译:灵活的技术,用于校准两个不重叠FOV的摄像机的相对位置和方向

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摘要

We propose a flexible new method to calibrate the relative position and orientation relationship of two cameras with no-overlapping field of view (FOV), which are called relative pose parameters in this paper. The objective of this method is to unify the local coordinate frames of the two cameras to be under one global coordinate frame. Additionally we design a flexible target composed of two short 1D bars with equally placed light spots and one long linking pole to assist the calibration. The target is adjustable according to the actual position and orientation of the two cameras, based on the principle that the two 1D bars can be shot clearly at the same time by their corresponding cameras, which will largely increase the calibration accuracy. The proposed approach consists of two steps. Firstly we use the invariant constraints on the angle and distance between the two short 1D bars to give a rough estimation on the relative pose parameters of the two cameras, then we use more restrictions on the invariant distances between light spots on the two 1D bars respectively to refine the estimation on both the relative pose parameters and the structure parameter of the targets. This technique offers a significant flexibility and tight space advantage compared to other calibration methods applying extremely large 2D or 3D targets for wide view calibration, which are inefficient in some conditions. And equally important, this approach still obtains acceptable calibration accuracy. Result of the experimental calibration shows that the system calibrated by this method reaches an accuracy of 0.108 mm when measuring a distance section of 1040 mm.
机译:我们提出了一种灵活的新方法来校准两个不具有重叠视场(FOV)的相机的相对位置和方向关系,在本文中将其称为相对姿态参数。该方法的目的是将两个摄像机的局部坐标系统一为一个全局坐标系。另外,我们设计了一个灵活的目标,该目标由两个短的一维条带,相等放置的光斑和一个长的连接杆组成,以帮助进行校准。根据两个摄像头的实际位置和方向,可根据两个一维条形图由相应的摄像头同时清晰拍摄的原理来调整目标,这将大大提高校准精度。提议的方法包括两个步骤。首先,我们对两个短一维条形之间的角度和距离使用不变约束,以粗略估计两个摄像机的相对姿态参数,然后分别对两个一维条形上的光点之间的不变距离使用更多限制优化目标的相对姿态参数和结构参数的估计。与其他应用非常大的2D或3D目标进行宽视角校准的校准方法相比,该技术具有显着的灵活性和紧凑的空间优势,在某些情况下效率不高。同样重要的是,这种方法仍然可以获得可接受的校准精度。实验校准的结果表明,用这种方法校准的系统在测量1040 mm的距离段时达到0.108 mm的精度。

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