The article describes the algorithm for creating three-dimensional models of stones from their polygonal mesh and a prototype photo. This method extracts PBR textures from the source image of the object and makes them seamless. Then, using the Blender software, a UV scan of the model is built. At the next stage, the coordinates of the sweep seams are extracted, and the quality of the textures is improved. Then, the resulting textures are superimposed on the object following the UV scan. The result is a three-dimensional model of the object with the textures applied to it. Also, a program was implemented that allows you to perform the above actions with a click of a button, which makes the process of obtaining a finished model as simple as possible. Among other things, the model was successfully exported to other programs working with 3D graphics.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
PublisherSpringer Nature
Pages94-104
Number of pages11
ISBN (Print)9783030588168
DOIs
StatePublished - 2020
Event20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italy
Duration: 1 Jul 20204 Jul 2020
http://iccsa.org/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12254 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Computational Science and Its Applications, ICCSA 2020
Abbreviated titleICCSA 2020
Country/TerritoryItaly
CityCagliari
Period1/07/204/07/20
Internet address

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Archaeology, Modelling, Object reconstruction, Photogrammetry

ID: 70478567