Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features
Feature retrieval technology for building floor plans has garnered significant attention in recent years due to its critical role in the efficient management and execution of construction projects. This paper presents a comprehensive exploration of four primary features essential for the retrieval o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | AI |
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| Online Access: | https://www.mdpi.com/2673-2688/6/4/67 |
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| author | Hongxing Ling Guangsheng Luo Nanrun Zhou Xiaoyan Jiang |
| author_facet | Hongxing Ling Guangsheng Luo Nanrun Zhou Xiaoyan Jiang |
| author_sort | Hongxing Ling |
| collection | DOAJ |
| description | Feature retrieval technology for building floor plans has garnered significant attention in recent years due to its critical role in the efficient management and execution of construction projects. This paper presents a comprehensive exploration of four primary features essential for the retrieval of building floor plans: semantic features, spatial features, shape features, and texture features (collectively referred to as 3ST features). The extraction algorithms and underlying principles associated with these features are thoroughly analyzed, with a focus on advanced methods such as wavelet transforms and Fourier shape descriptors. Furthermore, the performance of various retrieval algorithms is evaluated through rigorous experimental analysis, offering valuable insights into optimizing the retrieval of building floor plans. Finally, this study outlines prospective directions for the advancement of feature retrieval technology in the context of floor plans. |
| format | Article |
| id | doaj-art-5d74e549472e4afdb86e3e1b84d979f2 |
| institution | OA Journals |
| issn | 2673-2688 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AI |
| spelling | doaj-art-5d74e549472e4afdb86e3e1b84d979f22025-08-20T02:17:25ZengMDPI AGAI2673-26882025-03-01646710.3390/ai6040067Survey of Architectural Floor Plan Retrieval Technology Based on 3ST FeaturesHongxing Ling0Guangsheng Luo1Nanrun Zhou2Xiaoyan Jiang3Business and Information College, Shanghai 200235, ChinaSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaFeature retrieval technology for building floor plans has garnered significant attention in recent years due to its critical role in the efficient management and execution of construction projects. This paper presents a comprehensive exploration of four primary features essential for the retrieval of building floor plans: semantic features, spatial features, shape features, and texture features (collectively referred to as 3ST features). The extraction algorithms and underlying principles associated with these features are thoroughly analyzed, with a focus on advanced methods such as wavelet transforms and Fourier shape descriptors. Furthermore, the performance of various retrieval algorithms is evaluated through rigorous experimental analysis, offering valuable insights into optimizing the retrieval of building floor plans. Finally, this study outlines prospective directions for the advancement of feature retrieval technology in the context of floor plans.https://www.mdpi.com/2673-2688/6/4/67floor plan feature retrieval3ST featureswavelet transformsFourier shape descriptions |
| spellingShingle | Hongxing Ling Guangsheng Luo Nanrun Zhou Xiaoyan Jiang Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features AI floor plan feature retrieval 3ST features wavelet transforms Fourier shape descriptions |
| title | Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features |
| title_full | Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features |
| title_fullStr | Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features |
| title_full_unstemmed | Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features |
| title_short | Survey of Architectural Floor Plan Retrieval Technology Based on 3ST Features |
| title_sort | survey of architectural floor plan retrieval technology based on 3st features |
| topic | floor plan feature retrieval 3ST features wavelet transforms Fourier shape descriptions |
| url | https://www.mdpi.com/2673-2688/6/4/67 |
| work_keys_str_mv | AT hongxingling surveyofarchitecturalfloorplanretrievaltechnologybasedon3stfeatures AT guangshengluo surveyofarchitecturalfloorplanretrievaltechnologybasedon3stfeatures AT nanrunzhou surveyofarchitecturalfloorplanretrievaltechnologybasedon3stfeatures AT xiaoyanjiang surveyofarchitecturalfloorplanretrievaltechnologybasedon3stfeatures |