Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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 language | English |
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Title of host publication | Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings |
Editors | Osvaldo 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 |
Publisher | Springer Nature |
Pages | 94-104 |
Number of pages | 11 |
ISBN (Print) | 9783030588168 |
DOIs | |
State | Published - 2020 |
Event | 20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italy Duration: 1 Jul 2020 → 4 Jul 2020 http://iccsa.org/ |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12254 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 20th International Conference on Computational Science and Its Applications, ICCSA 2020 |
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Abbreviated title | ICCSA 2020 |
Country/Territory | Italy |
City | Cagliari |
Period | 1/07/20 → 4/07/20 |
Internet address |
ID: 70478567