Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
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.
Язык оригинала | английский |
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Название основной публикации | Computational Science and Its Applications – ICCSA 2018 |
Подзаголовок основной публикации | 18th International Conference, Melbourne, VIC, Australia, July 2–5, 2018, Proceedings, Part IV |
Издатель | Springer Nature |
Страницы | 160-169 |
DOI | |
Состояние | Опубликовано - 1 янв 2018 |
Событие | 18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Австралия Продолжительность: 2 июл 2018 → 5 июл 2018 |
Название | Lecture Notes in Computer Science |
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Издатель | Springer Nature |
Том | 10963 |
ISSN (печатное издание) | 0302-9743 |
конференция | 18th International Conference on Computational Science and Its Applications, ICCSA 2018 |
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Страна/Tерритория | Австралия |
Город | Melbourne |
Период | 2/07/18 → 5/07/18 |
ID: 71301046