Issue |
MATEC Web Conf.
Volume 252, 2019
III International Conference of Computational Methods in Engineering Science (CMES’18)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 6 | |
Section | Computational Artificial Intelligence | |
DOI | https://doi.org/10.1051/matecconf/201925203001 | |
Published online | 14 January 2019 |
Problems of acquisition and postprocessing of 3D scans of large architectural objects
Lublin University of Technology, Institute of Computer Science, Nadbystrzycka 36B, 20-618 Lublin, Poland
* Corresponding author: j.kesik@pollub.pl
The article presents the 3D scanning methodology for large architectural objects, using stationary laser scanners in case of objects of cultural heritage. The developed methodology was tested in the field during 3D scanning of architectural monuments of the city of Samarkand in Uzbekistan. Particular attention is paid to technical and organisational problems of the 3D scanning process of architectural objects which appeared during the Second Scientific Expedition of the Lublin University of Technology to Central Asia. Next, methods for obtaining digital models adequate to the assumed archiving goals and dissemination of cultural heritage of Central Asia are presented. The described case study is, according to the authors, representative for 3D scanning of much-frequented architectural objects being monuments of great importance for cultural heritage.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.