发表状态 | 已发表Published |
题名 | Semantic 3D reconstruction-oriented image dataset for building component segmentation |
作者 | |
发表日期 | 2024-09-01 |
发表期刊 | Automation in Construction
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ISSN/eISSN | 0926-5805 |
卷号 | 165 |
摘要 | In image-driven 3D building reconstruction, instance segmentation is fundamental to pixel-wise building component detection, which can be fused with 3D data like point clouds and meshes via camera projection for semantic reconstruction. While deep learning-based segmentation has obtained promising results, it relies heavily on large-scale datasets for training. Unfortunately, existing large-scale image datasets often include irrelevant objects that obstruct building components, making them unsuitable for 3D building reconstruction. This paper addresses this gap by introducing a large-scale building image dataset to facilitate building component segmentation for 3D reconstruction. The dataset comprises 3378 images captured from both interiors and exteriors of 36 university buildings, annotated with 49,380 object instances across 11 classes. Rigorous quality control measures were employed during data collection and annotation. Evaluation of five typical deep learning-based instance segmentation models demonstrates the dataset's suitability for training and its value as a benchmark dataset for building component segmentation. |
关键词 | 3D reconstruction Building component segmentation Building image dataset Building Information Modeling (BIM) Deep learning Instance segmentation |
DOI | 10.1016/j.autcon.2024.105558 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Construction & Building Technology ; Engineering |
WOS类目 | Construction & Building Technology ; Engineering, Civil |
WOS记录号 | WOS:001339187800001 |
Scopus入藏号 | 2-s2.0-85196257751 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/11862 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Ying, Huaquan |
作者单位 | 1.Department of Civil and Environmental Engineering,University of Macau,Macao SAR,China 2.Faculty of Civil and Environmental Engineering,Technion-Israel Institute of Technology,Haifa,Israel 3.Department of Engineering,University of Cambridge,Cambridge,United Kingdom 4.Department of Real Estate and Construction,The University of Hong Kong,Hong Kong 5.Department of Electrical Engineering,City University of Hong Kong,Hong Kong 6.Center for Energy Environmental Management and Decision-making,China University of Geosciences,Wuhan,China |
推荐引用方式 GB/T 7714 | Wong, Mun On,Ying, Huaquan,Yin, Mengtianet al. Semantic 3D reconstruction-oriented image dataset for building component segmentation[J]. Automation in Construction, 2024, 165. |
APA | Wong, Mun On., Ying, Huaquan., Yin, Mengtian., Yi, Xiaoyue., Xiao, Lizhao., .. & Tang, Llewellyn. (2024). Semantic 3D reconstruction-oriented image dataset for building component segmentation. Automation in Construction, 165. |
MLA | Wong, Mun On,et al."Semantic 3D reconstruction-oriented image dataset for building component segmentation". Automation in Construction 165(2024). |
条目包含的文件 | 条目无相关文件。 |
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