@misc{StahlMielkeLange2025,
  author    = {Stahl, Bastian and Mielke, Alexandra and Lange, Robert},
  title     = {Planar3D-CamEval - Comparative 3D Camera Performance Evaluation on a Flat Wall},
  doi       = {10.21227/1h5f-g273},
  institution = {Fachbereich Ingenieurwissenschaften und Kommunikation},
  year      = {2025},
  abstract  = {This dataset accompanies the study  "Universal Metrics to Characterize the Performance of Imaging 3D Measurement Systems with a Focus on Static Indoor Scenes" and provides all measurement data, processing scripts, and evaluation code necessary to reproduce the results. It includes raw and processed point cloud data from six state-of-the-art 3D measurement systems, captured under standardized conditions. Additionally, the dataset contains high-speed sensor measurements of the cameras' active illumination, offering insights into their optical emission characteristics. The key performance metrics—covering precision, accuracy, trueness, surface texture, and the Energy-Density-Weighted Depth Precision Index (EPI)—are summarized in a PowerPoint presentation with plots for easy comparison. By making this dataset publicly available, we aim to support further research, benchmarking, and the development of standardized evaluation methodologies for 3D imaging systems.},
  language  = {en}
}