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. It was investigated whether photos from smartphones are also appropriate for updating point clouds by using photogrammetry in a factory environment. The photos (369) taken in 08:30 min with the smartphone were taken with the App 645 PRO Mk III with the settings ISO 250, F-Stop 1.8, Shutterspeed 1/125 sec. The result was that photos from current smartphones (here tested: iPhone XS) are suitable for photogrammetry applications. Main component are the comparison of the datasets of three devices: Nikon D810 with Sigma art 24mm, iPhone 6 and iPhone XS. In this repository one dataset (photos in .TIFF) of the iPhone XS is provided. The test environment was a technical room in a factory. The data sets are used for a photogrammetry comparison. Furthermore, all settings in the RealityCapture BETA 1.0 and Meshroom 2019 2.0 software are provided. A comparison of calculation time and quality of the 3D meshes was performed. The data set of the iPhone XS can be used to compare further photogrammetry software or single algorithms. Besides the images, the point clouds of the laser scanner are provided. This also includes the combination of laser scan point cloud and photogrammetry mesh. This data in brief article is published as an co-submission of the paper "Approach for an Update Method for Digital Factory Models" in the Procedia CIRP CMS 2020. Conclusions and further information can be found in this paper