ExteriorTag: Automatic Semantic Annotation of BIM Building Exterior Via Voxel Index Analysis

The growing demand for building information modeling (BIM) data and ubiquitous applications make it increasingly necessary to establish a reliable way to share the models on lightweight devices. Building scenes have strong occlusion features and the building exterior plays an important role in digit...

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Bibliographic Details
Published in:IEEE computer graphics and applications 2021-05, Vol.41 (3), p.48-58
Main Authors: Liu, Xiaojun, He, Changyan, Zhao, Hantao, Jia, Jinyuan, Liu, Chang
Format: Magazinearticle
Language:English
Subjects:
Algorithms
Annotations
Building information modeling
Building management systems
Culling
Data models
Data visualization
Demand analysis
Indexes
Occlusion
Semantics
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Summary:The growing demand for building information modeling (BIM) data and ubiquitous applications make it increasingly necessary to establish a reliable way to share the models on lightweight devices. Building scenes have strong occlusion features and the building exterior plays an important role in digital devices with limited computational resources. This allows the possibility to reduce the resource consumption while roaming in outdoor scenes by culling away the interior building data. This article addresses the task of automatic annotation of BIM building exterior via voxel index analysis. We showcase the research of using industry foundation classes (IFC) and other mainstream formats as our input data and proposed an automatic algorithm for annotating the building exterior. Afterward, a practical and accurate voxel index analysis procedure is designed for frequently flawed models. The annotation can be added directly into the original data file under the same IFC standard, avoiding the complex procedure and information loss in semantics mapping between different standards. The final examinations show the robustness of our algorithm and the capability of handling large BIM building models.
ISSN:0272-1716
1558-1756
DOI:10.1109/MCG.2021.3069856