论文标题
移动摄像机的自动校准用于机械管的3D重建
Automated Calibration of Mobile Cameras for 3D Reconstruction of Mechanical Pipes
论文作者
论文摘要
该手稿为使用大型圆形黑色和白色目标场校准光学仪器，尤其是移动相机的校准提供了新的框架。引入了（i）图像之间匹配目标的新方法； （ii）调整目标中心的系统偏心误差； （iii）迭代通过自由网络的自校准束调整来改善校准解决方案。据观察，所提出的目标匹配有效地匹配了从完整校准实验室的270个手机图像中，具有鲁棒性到II型错误。拟议的偏心率调整只需要从两个视图中的相机投影矩阵，其表现是可用的封闭形式解决方案的同义词，这需要先验的其他对象空间目标信息。最后，特别是对于移动设备的情况，与原位校准相比，使用我们的框架获得的校准参数优越，用于估计机械管的3D重建半径（大约提高45％）。
This manuscript provides a new framework for calibration of optical instruments, in particular mobile cameras, using large-scale circular black and white target fields. New methods were introduced for (i) matching targets between images; (ii) adjusting the systematic eccentricity error of target centers; and (iii) iteratively improving the calibration solution through a free-network self-calibrating bundle adjustment. It was observed that the proposed target matching effectively matched circular targets in 270 mobile phone images from a complete calibration laboratory with robustness to Type II errors. The proposed eccentricity adjustment, which requires only camera projective matrices from two views, behaved synonymous to available closed-form solutions, which require several additional object space target information a priori. Finally, specifically for the case of the mobile devices, the calibration parameters obtained using our framework was found superior compared to in-situ calibration for estimating the 3D reconstructed radius of a mechanical pipe (approximately 45% improvement).
