Computer technology is used to reconstruct the main parts of archaeological monuments by creating their 3D models. There is a number of software products that can solve this important task of historical and cultural studies. However, the existing solutions either require expensive specialized equipment or may only be used by specially trained personnel. This makes it relevant to create a software that could reconstruct 3D models automatically. This paper describes the algorithm and development stages of a new application that comprises components with the following functionality: video decomposition, user movement tracking, point cloud creation, polygon mesh creation, and application of texture to a polygon mesh. The software we have developed allows to run an automatic 3D reconstruction of landscape models and archaeological objects based on photo and video materials. It allows to significantly reduce labour costs and processing time compared to the existing solutions. The software has a friendly interface and may be operated be users without special expertise.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2018
Subtitle of host publication18th International Conference, Melbourne, VIC, Australia, July 2–5, 2018, Proceedings, Part IV
PublisherSpringer Nature
Pages160-169
DOIs
StatePublished - 1 Jan 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: 2 Jul 20185 Jul 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Nature
Volume10963
ISSN (Print)0302-9743

Conference

Conference18th International Conference on Computational Science and Its Applications, ICCSA 2018
Country/TerritoryAustralia
CityMelbourne
Period2/07/185/07/18

    Scopus subject areas

  • Information Systems
  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • 3D reconstruction, Automatization, Cultural heritage, Digital reconstruction, Landscape visualisation, Virtual archeology

ID: 71301046