3D SURVEYING & MODELING OF UNDERGROUND PASSAGES IN WWI FORTIFICATIONS

Abstract. The virtual reconstruction of subterranean structures is a suitable scenario for the integration of different geomatics techniques although narrow passages, lack of light and irregular surface can arise various problems in the data acquisition as well as processing procedures. Generally the final product is a dense and detailed 3D model, whose number of triangles increases quickly according to the complexity of the object. This complexity reduces the efficient use and dissemination of the produced information therefore innovative solutions are sought. The article presents the 3D surveying and modelling of underground passages of World War I (WWI) fortifications. After the acquisition of dense point clouds by means of terrestrial scanning (TLS), a simplification and optimization workflow is performed with the aim of generating a lightweight product that keeps the maximum amount of significant information. A continuous scene representation with a 87% triangle reduction is generated, while the final precision is preserved according to a tolerance predefined by the final user. Such 3D product can be employed as basis for reconstruction, consolidation, preservation and valorisation of the WWI tunnels.

[1]  Gianfranco Forlani,et al.  A novel image acquisition and processing procedure for fast Tunnel DSM production , 2012 .

[2]  Peter Teunissen,et al.  Incidence angle influence on the quality of terrestrial laser scanning points , 2009 .

[3]  Adrien Arles,et al.  3D reconstruction and modeling of subterranean landscapes in collaborative mining archeology projects: techniques, applications and experiences , 2013 .

[4]  D. Lichti,et al.  Error Propagation in Directly Georeferenced Terrestrial Laser Scanner Point Clouds for Cultural Heritage Recording , 2004 .

[5]  David Hernández-López,et al.  Vineyard yield estimation by automatic 3D bunch modelling in field conditions , 2015, Comput. Electron. Agric..

[6]  J. Beraldina,et al.  Best Practices for the 3 D Documentation of the Grotta dei Cervi of Porto Badisco , Italy , 2011 .

[7]  Cyrill Stachniss,et al.  Exploration and mapping of catacombs with mobile robots , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[8]  Michael Bosse,et al.  Efficient Large-Scale 3D Mobile Mapping and Surface Reconstruction of an Underground Mine , 2012, FSR.

[9]  Edgar A. Ramos,et al.  Geometric and topological guarantees for the WRAP reconstruction algorithm , 2007, SODA '07.

[10]  Fabio Menna,et al.  ACCURACY OF TYPICAL PHOTOGRAMMETRIC NETWORKS IN CULTURAL HERITAGE 3D MODELING PROJECTS , 2014 .

[11]  Paul J. Besl,et al.  Method for registration of 3-D shapes , 1992, Other Conferences.

[12]  Yuriy Reshetyuk,et al.  Self-calibration and direct georeferencing in terrestrial laser scanning , 2009 .

[13]  W. Baarda,et al.  A testing procedure for use in geodetic networks. , 1968 .

[14]  Marco Attene,et al.  A lightweight approach to repairing digitized polygon meshes , 2010, The Visual Computer.

[15]  I. Kolingerová,et al.  SIMPLE HOLES TRIANGULATION IN SURFACE RECONSTRUCTION , 2022 .

[16]  Michael M. Kazhdan,et al.  Poisson surface reconstruction , 2006, SGP '06.

[17]  Livio De Luca,et al.  Web visualization of complex reality-based 3D models with NUBES , 2013, 2013 Digital Heritage International Congress (DigitalHeritage).

[18]  Fabio Menna,et al.  A non-conventional procedure for the 3D modeling of WWI forts , 2014 .

[19]  Alessandro Rizzi,et al.  The Etruscans in 3D: From Space to Underground , 2011 .

[20]  José Almeida,et al.  Application of Visual-Inertial SLAM for 3D Mapping of Underground Environments , 2012 .

[21]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[22]  Diego González-Aguilera,et al.  New tools for rock art modelling: automated sensor integration in Pindal Cave , 2011 .

[23]  J.-Angelo Beraldin,et al.  Best practices for the 3D documentation of the Grotta dei Cervi of Porto Badisco, Italy , 2011, Electronic Imaging.

[24]  Michael Garland,et al.  Surface simplification using quadric error metrics , 1997, SIGGRAPH.

[25]  Paolo Cignoni,et al.  MeshLab: an Open-Source 3D Mesh Processing System , 2008, ERCIM News.

[26]  Herbert Edelsbrunner,et al.  Three-dimensional alpha shapes , 1992, VVS.