Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Rendering Optimization of Building Information Models Based on Occlusion Culling

Authors
Taiping Jiang1, Shixiang Huang1, *, Zhilian Yan2
1School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, China
2School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan, China
*Corresponding author. Email: 3014973038@qq.com
Corresponding Author
Shixiang Huang
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_35How to use a DOI?
Keywords
Building Information Model (BIM); Occlusion Culling; Spatial Mesh Division; Model Rendering
Abstract

The application of Building Information Modeling (BIM) technology in the field of construction engineering has become increasingly mature, and its practical application on construction sites is closely related to lightweight models. However, BIM involves high complexity and contains large amounts of geometric data, leading to inefficient rendering on the web. To address this issue, this paper proposes an occlusion culling algorithm based on scene management. The algorithm employs an octree spatial data structure to manage the model, then creates bounding boxes according to the constructed octree. A ray-casting algorithm is used to analyze all the bounding boxes, ultimately identifying and culling the occluded regions. Experimental results show that the algorithm effectively reduces the geometric data to be rendered without affecting the model’s accuracy, thereby improving the scene rendering speed and demonstrating the algorithm’s effectiveness.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_35How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Taiping Jiang
AU  - Shixiang Huang
AU  - Zhilian Yan
PY  - 2025
DA  - 2025/02/28
TI  - Rendering Optimization of Building Information Models Based on Occlusion Culling
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 358
EP  - 368
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_35
DO  - 10.2991/978-94-6463-656-7_35
ID  - Jiang2025
ER  -