Datasets of captured images of 3 different devices for photogrammetry calculation comparison and integration to a laser scan point cloud

The present data article aims to provide the whole dataset obtained during an experiment of updating laser scan point clouds with photogrammetry meshes. In this context, the data quality and calculation time of photogrammetry models from different recording devices and different software solutions were compared. It was investigated whether photos from smartphones are also appropriate for updating point clouds by using photogrammetry in a factory environment. The photos of the technical installation were taken in 08:30 min with all three devices: Nikon D810 with Sigma art 24mm, iPhone 6 and iPhone XS. Three data sets were created with each device. One dataset (photos in .TIFF) of the iPhone XS is provided. The results of the data sets are used for a photogrammetry mesh quality comparison and a calculation time comparison. Furthermore, all settings in the RealityCapture BETA 1.0 and Meshroom 2019 2.0 software are provided. A comparison of the quality of the photogrammetric 3D meshes was performed by comparing the rendering results. The data set of the iPhone XS can be used to compare further photogrammetry software or single algorithms. Besides the images, the initial point cloud of the laser scanner is provided. This also includes the combination of laser scan point cloud and photogrammetry mesh to close the experiment.

本数据集文章旨在提供通过摄影测量网格（photogrammetry mesh）更新激光扫描点云（laser scan point cloud）的实验中所获取的完整数据集。本研究中，研究人员对比了不同采集设备与不同软件方案生成的摄影测量（photogrammetry）模型的数据质量与计算耗时，并探究了在工厂环境下，智能手机拍摄的照片是否也可通过摄影测量方法用于更新激光扫描点云。本次技术装置的照片由三台设备于08:30拍摄完成：搭载Sigma Art 24mm镜头的尼康D810、iPhone 6以及iPhone XS。每台设备均生成三组数据集，本次公开提供iPhone XS拍摄的一组数据集（照片格式为.TIFF）。本数据集的结果可用于摄影测量网格的质量对比与计算耗时对比。此外，本次公开了RealityCapture BETA 1.0与Meshroom 2019 2.0两款软件的全部参数设置。研究人员通过对比渲染结果，完成了摄影测量三维网格的质量评估与对比。iPhone XS的数据集可用于后续其他摄影测量软件或单一算法的对比测试。除图像数据外，本次还公开了激光扫描仪的初始点云数据，同时包含用于完成本次实验的激光扫描点云与摄影测量网格的融合结果。