Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Real-Time Rendering of Massive Geological Data

Authors
Zhijie Jia, Xianhai Meng, Zhongxiang Duan, Qin Yang
Corresponding Author
Zhijie Jia
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.65How to use a DOI?
Keywords
geological data; LOD; real-time rendering
Abstract

The visualization technique is an effective tool to extract useful information from the geological data. In this paper, we proposed an efficient visualization framework that can render large-scale geological truncated mesh in real-time. The geological models of different resolutions were generated by cell merging, and the rendering resolution was dynamically selected according to the viewpoint position. The experiments confirm the ability to handle massive geological data of our method, and the coarse resolution rendering only causes little detail loss for the visual image.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-499-6
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.65How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhijie Jia
AU  - Xianhai Meng
AU  - Zhongxiang Duan
AU  - Qin Yang
PY  - 2018/03
DA  - 2018/03
TI  - Real-Time Rendering of Massive Geological Data
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 294
EP  - 298
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.65
DO  - 10.2991/mmsa-18.2018.65
ID  - Jia2018/03
ER  -