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Rendering Optimization of Building Information Models Based on Occlusion Culling

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

Author

Listed:
  • Taiping Jiang

    (Anhui University of Technology, School of Computer Science and Technology)

  • Shixiang Huang

    (Anhui University of Technology, School of Computer Science and Technology)

  • Zhilian Yan

    (Anhui University of Technology, School of Electrical and Information Engineering)

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.

Suggested Citation

  • Taiping Jiang & Shixiang Huang & Zhilian Yan, 2025. "Rendering Optimization of Building Information Models Based on Occlusion Culling," Advances in Economics, Business and Management Research, in: Soon M. Chung & Fairouz Kamareddine & Azah Kamilah Draman & Sim Kwan Yong (ed.), Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), pages 358-368, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-656-7_35
    DOI: 10.2991/978-94-6463-656-7_35
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