Volume XLII-2/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 133-140, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 133-140, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-133-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Nov 2017

13 Nov 2017

THE EXAMPLE OF USING THE XIAOMI CAMERAS IN INVENTORY OF MONUMENTAL OBJECTS - FIRST RESULTS

J. S. Markiewicz1, S. Łapiński2, R. Bienkowski3, and A. Kaliszewska3 J. S. Markiewicz et al.
  • 1Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw University of Technology, Warsaw, Poland
  • 2Faculty of Geodesy and Cartography, Division of Engineering Geodesy and Control Surveying System, Warsaw University of Technology, Warsaw, Poland
  • 3System Research Institute, Polish Academy of Sciences, Poland

Keywords: Low-Cost, Dense Image Matching, Monumental Objects, XIAOMI Cameras, Quality Assessment, SfM, MVS

Abstract. At present, digital documentation recorded in the form of raster or vector files is the obligatory way of inventorying historical objects. Today, photogrammetry is becoming more and more popular and is becoming the standard of documentation in many projects involving the recording of all possible spatial data on landscape, architecture, or even single objects. Low-cost sensors allow for the creation of reliable and accurate three-dimensional models of investigated objects. This paper presents the results of a comparison between the outcomes obtained when using three sources of image: low-cost Xiaomi cameras, a full-frame camera (Canon 5D Mark II) and middle-frame camera (Hasselblad-Hd4). In order to check how the results obtained from the two sensors differ the following parameters were analysed: the accuracy of the orientation of the ground level photos on the control and check points, the distribution of appointed distortion in the self-calibration process, the flatness of the walls, the discrepancies between point clouds from the low-cost cameras and references data. The results presented below are a result of co-operation of researchers from three institutions: the Systems Research Institute PAS, The Department of Geodesy and Cartography at the Warsaw University of Technology and the National Museum in Warsaw.