Volume XLII-2/W15
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W15, 405–412, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W15-405-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W15, 405–412, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W15-405-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  22 Aug 2019

22 Aug 2019

HISTORICAL PHOTOS AND VISUALIZATIONS: POTENTIAL FOR RESEARCH

L. Dewitz1, C. Kröber1, H. Messemer2, F. Maiwald1, S. Münster1,4, J. Bruschke3, and F. Niebling3 L. Dewitz et al.
  • 1Media Center, Technische Universität Dresden, Germany
  • 2Institute of Art History, Julius-Maximilians-Universität Würzburg, Germany
  • 3Human-Computer Interaction, Universität Würzburg, Germany
  • 4Digital Humanities, Friedrich-Schiller-Universität Jena, Germany

Keywords: Image repository, 3D reconstruction, data and information visualization, 3D reconstruction, image plausibility, image repository, information perception

Abstract. The interdisciplinary research group on four-dimensional research and communication of urban history (Urban History 4D) aims to investigate and develop methods and technologies to access extensive repositories of historical media and their contextual information in a spatial model, with an additional temporal component. This will make content accessible to different target groups, researchers and the public, via a 4D Browser and an Augmented Reality app for mobile devices. One goal is to improve the accessibility of media repositories and develop suitable solutions for data preparation and information research, making extensive use of visualizations. An interdisciplinary approach is taken to ensure that visualizations for research are comprehensible and meet scientific standards. The investigation of spatial visualizations of image repositories and their visual representation in a coherent context includes frequencies, directions, and perspectives within the image material, which can be grasped through quantitative methods. This paper introduces two main investigations into (1) quantitative data visualization with photography and (2) the plausibility and perception of 3D reconstructions.