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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
ISSN/eISSN0926-5805
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
DOI10.1016/j.autcon.2024.105558
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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
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
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
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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).
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