TY - GEN
T1 - 3D Model Management and Dynamic Loading based on GIS Database
AU - Wang, Jiaxing
AU - Wang, Wei
AU - Yue, Yong
AU - Zhu, Xiaohui
N1 - Funding Information:
ACKNOWLEDGMENT This work is partially supported by the AI University Research Centre (AI-URC) at XJTLU through Project Nos. KSF-A-19 and RRSP10120170029, Natural Science Foundation of Jiangsu Higher Education Institutions (Project No. 21KJB510024), and Central Government Guidance on Local Science and Technology Development Fund of Hebei Province (Project No. 226Z1808G)
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a new method based Binary Large Object (BLO) to more effectively manage and load a massive number of three-dimensional (3D) models in the Geographic Information System (GIS). Different from those methods of 3D model storage and loading based on file systems, the proposed method focuses on integrating 3D model management and dynamic loading from a database. In the proposed method, the 3D model is split into several nodes and dynamically loaded with the GIS while the database keeps these nodes in a binary format. It aims to significantly improve the model loading efficiency. In order to verify the loading efficiency, a loading method of data stored in a database with the file system is introduced as a baseline. Typical examples show that the proposed BLO method is supreme over the baseline in terms of loading time for rendering 3D scenes, proving its high efficiency for loading large-scale scenes.
AB - This paper proposes a new method based Binary Large Object (BLO) to more effectively manage and load a massive number of three-dimensional (3D) models in the Geographic Information System (GIS). Different from those methods of 3D model storage and loading based on file systems, the proposed method focuses on integrating 3D model management and dynamic loading from a database. In the proposed method, the 3D model is split into several nodes and dynamically loaded with the GIS while the database keeps these nodes in a binary format. It aims to significantly improve the model loading efficiency. In order to verify the loading efficiency, a loading method of data stored in a database with the file system is introduced as a baseline. Typical examples show that the proposed BLO method is supreme over the baseline in terms of loading time for rendering 3D scenes, proving its high efficiency for loading large-scale scenes.
KW - 3D Scene Rendering
KW - Dynamic Loading
KW - Geographic Information System
KW - Level of Detail
KW - Model Database
UR - http://www.scopus.com/inward/record.url?scp=85146122050&partnerID=8YFLogxK
U2 - 10.1109/ADMIT57209.2022.00009
DO - 10.1109/ADMIT57209.2022.00009
M3 - Conference Proceeding
AN - SCOPUS:85146122050
T3 - Proceedings - 2022 International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2022
SP - 1
EP - 6
BT - Proceedings - 2022 International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Algorithms, Data Mining, and Information Technology, ADMIT 2022
Y2 - 23 September 2022 through 25 September 2022
ER -