Volume XL-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 413-420, 2014
https://doi.org/10.5194/isprsarchives-XL-5-413-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 413-420, 2014
https://doi.org/10.5194/isprsarchives-XL-5-413-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 Jun 2014

06 Jun 2014

Point cloud-based survey for cultural heritage – An experience of integrated use of range-based and image-based technology for the San Francesco convent in Monterubbiano

A. Meschini, E. Petrucci, D. Rossi, and F. Sicuranza A. Meschini et al.
  • University of Camerino, School of Architecture and Design, Ascoli Piceno, Italy

Keywords: SFM, TOF laser scanning, UAV, 3D data integration

Abstract. The paper aims at presenting some results of a point cloud-based survey carried out through integrated methodologies based on active and passive 3D acquisition techniques for processing 3D models. This experiment is part of a research project still in progress conducted by an interdisciplinary team from the School of Architecture and Design of Ascoli Piceno and funded by the University of Camerino. We describe an experimentation conducted on the convent of San Francesco located in Monterubbiano town center (Marche, Italy). The whole complex has undergone a number of substantial changes since the year of its foundation in 1247. The survey was based on an approach blending range-based 3D data acquired by a TOF laser scanner and image-based 3D acquired using an UAV equipped with digital camera in order to survey some external parts difficult to reach with TLS. The integration of two acquisition methods aimed to define a workflow suitable to process dense 3D models from which to generate high poly and low poly 3D models useful to describe complex architectures for different purposes such as photorealistic representations, historical documentation, risk assessment analyses based on Finite Element Methods (FEM).