ppi, Meshroom 2019 2.0Īll calculations were performed on the same PC with different photogrammetry software. Hardware: Nikon D810 (Lens: Sigma Art 24mm F1.4 DG HSM), iPhone XS, iPhone 6, FARO FOCUS S 350, Computer: Intel® Core™ i7-6700 CPU 3.40GHz 3.31 GHz, 32 GB RAM, NVIDIA GeForce GTX980 Ti Recording time and quality comparison of photogrammetry meshesĭata were obtained from camera recordings, laser scans Also included is the combined file which consists of the laser scan point cloud and the photogrammetry mesh of the end of the experiment. Besides the images, the initial point cloud of the laser scanner is provided.

The dataset of the iPhone XS can be used to compare further photogrammetry software or single algorithms. A comparison of the quality of the photogrammetric 3D meshes was performed by comparing the rendering results. ppi and Meshroom 2019 2.0 software are provided. Furthermore, all settings in the Realit圜apture BETA 1. For the mesh quality comparison, visual qualitative inspections were performed on the models and the results were compared. The results of the datasets are used for a photogrammetry mesh quality comparison and a calculation time comparison. With each of the mentioned devices, three datasets have been created to provide enough data for the comparisons. The photos of a technical installation were taken in 08:30 min with these three devices: Nikon D810 with Sigma art 24 mm, iPhone 6 and iPhone XS. It was investigated whether photos from smartphones are also appropriate for updating point clouds by using photogrammetry in a factory environment. In this context, the data quality and calculation time of photogrammetry models from different recording devices and different software solutions were compared. The presented data article aims to provide the whole dataset obtained during an experiment of updating laser scan point clouds with photogrammetry meshes.

Nikon d810 software