Volume XLII-2/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 473-478, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019
© 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/W9, 473-478, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  31 Jan 2019

31 Jan 2019

3D MODELING OF GIRIFALCO FORTRESS

A. Masiero1, F. Chiabrando2, A. M. Lingua3, B. G. Marino4, F. Fissore1, A. Guarnieri1, and A. Vettore1 A. Masiero et al.
  • 1Interdepartmental Research Center of Geomatics (CIRGEO), University of Padova, Viale dell’Universit`a 16, Legnaro (PD) 35020, Italy
  • 2Department of Architecture and Design, Polytechnic of Turin, Viale Mattioli 39, Torino, 10125, Italy
  • 3Department of Environment, Land and Infrastructure Engineering, Polytechnic of Turin, C.so Duca degli Abruzzi 24, Torino, 10129, Italy
  • 4DiARC Department of Architecture, University of Studies Federico II, Naples Italy

Keywords: Photogrammetry, UAV, Laser Scanning, Cultural Heritage Buildings, Point cloud segmentation

Abstract. Despite photogrammetry has been longly used for 3D model production, the recent development of structure from motion based reconstructions and the spread of unmanned aerial vehicles (UAV) are increasing its usage even further. Actually, the combined use of nadir and oblique UAV photogrammetry allows to cross the bridge between close range and aerial photogrammetry, enabling the quick acquisition of images for detailed 3D model production. This paper assesses the accuracy of UAV photogrammetry in the reconstruction of a cultural heritage building, namely the Girifalco fortress (Cortona, Italy), and it evaluates advantages and issues of this kind of 3D model generation. Furthermore, this work aims also at investigating the possible use of the generated model in order to extract geometric information about the building. First, elementary geometric shapes are extracted from the photogrammetric point cloud: the results of this step can be exploited for enabling the automatic generation of compact models of the building, which can be useful for instance in 3D city modeling applications. Then, a proper analysis of the geometric information included in the extracted shapes can be used in order to extract semantic information (e.g. to classify windows and doors) and to detect damaged areas on the building walls.