Building facade structure extraction method based on three-dimensional laser point cloud by considering semantic information

References

• Badwi, I. M., H. M. Ellaithy, and H. E. Youssef. 2022. “3D-GIS Parametric Modelling for Virtual Urban Simulation Using CityEngine.” Annals of GIS 28 (3): 325–341. https://doi.org/10.1080/19475683.2022.2037019.
   Web of Science ®Google Scholar
• Barbosa, M. T. G., V. J. Rosse, and N. G. Laurindo. 2021. “Thermography Evaluation Strategy Proposal Due Moisture Damage on Building Facades.” Journal of Building Engineering 43:102555. https://doi.org/10.1016/j.jobe.2021.102555.
   Web of Science ®Google Scholar
• Bendels, G. H., R. Schnabel, and R. Klein 2006. “Detecting Holes in Point Set Surfaces [Internet]. [Place Unknown]: Václav Skala - UNION Agency.” Accessed July 3, 2022. http://dspace5.zcu.cz/handle/11025/1350
   Google Scholar
• Brodu, N., and D. Lague. 2012. “3D Terrestrial Lidar Data Classification of Complex Natural Scenes Using a Multi-Scale Dimensionality Criterion: Applications in Geomorphology.” ISPRS Journal of Photogrammetry and Remote Sensing 68:121–134. https://doi.org/10.1016/j.isprsjprs.2012.01.006.
   Web of Science ®Google Scholar
• Chen, K., G. Reichard, X. Xu, and A. Akanmu. 2021. “Automated Crack Segmentation in Close-Range Building façade Inspection Images Using Deep Learning Techniques.” Journal of Building Engineering 43:102913. https://doi.org/10.1016/j.jobe.2021.102913.
   Web of Science ®Google Scholar
• Chen, S., W. Shi, M. Zhou, M. Zhang, and P. Chen. 2020. “Automatic Building Extraction via Adaptive Iterative Segmentation with LiDAR Data and High Spatial Resolution Imagery Fusion.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 13:2081–2095. https://doi.org/10.1109/JSTARS.2020.2992298.
   Web of Science ®Google Scholar
• Dey, E. K., M. Awrangjeb, F. Tarsha Kurdi, and B. Stantic. 2023. “Machine Learning-Based Segmentation of Aerial LiDAR Point Cloud Data on Building Roof.” European Journal of Remote Sensing 56 (1): 2210745. https://doi.org/10.1080/22797254.2023.2210745.
   Web of Science ®Google Scholar
• Dong, X., Y. Xiao, Z. Chen, J. Yao, and X. Guo. 2022. “GPU-Based Supervoxel Segmentation for 3D Point Clouds.” Computer Aided Geometric Design 93:102080. https://doi.org/10.1016/j.cagd.2022.102080.
   Web of Science ®Google Scholar
• Fischler, M. A., and R. C. Bolles. 1987. “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” Readings in Computer Vision 726–740. https://doi.org/10.1016/B978-0-08-051581-6.50070-2.
   Google Scholar
• Fotsing, C., P. Hahn, D. Cunningham, and C. Bobda. 2022. “Volumetric Wall Detection in Unorganized Indoor Point Clouds Using Continuous Segments in 2D Grids.” Automation in Construction 141:104462. https://doi.org/10.1016/j.autcon.2022.104462.
   Web of Science ®Google Scholar
• Gao, Q., and X. Shen. 2021. “ThickSeg: Efficient Semantic Segmentation of Large-Scale 3D Point Clouds Using Multi-Layer Projection.” Image and Vision Computing 108:104161. https://doi.org/10.1016/j.imavis.2021.104161.
   Web of Science ®Google Scholar
• Gharineiat, Z., F. Tarsha Kurdi, and G. Campbell. 2022. “Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques.” Remote Sensing 14 (19): 4685. https://doi.org/10.3390/rs14194685.
   Web of Science ®Google Scholar
• Hackel, T., N. Savinov, L. Ladicky, J. Wegner, K. Schindler, and M. Pollefeys. 2017. “Semantic3D.Net: A New Large-Scale Point Cloud Classification Benchmark.” ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences IV-1/W1:IV–1/W1. https://doi.org/10.5194/isprs-annals-IV-1-W1-91-2017.
   Google Scholar
• Hamid-Lakzaeian, F. 2019. “Structural-Based Point Cloud Segmentation of Highly Ornate Building façades for Computational Modelling.” Automation in Construction 108:102892–102892. https://doi.org/10.1016/J.AUTCON.2019.102892.
   Web of Science ®Google Scholar
• Hamid-Lakzaeian, F. 2020. “Point Cloud Segmentation and Classification of Structural Elements in Multi-Planar Masonry Building Facades.” Automation in Construction 118:103232–103232. https://doi.org/10.1016/J.AUTCON.2020.103232.
   Web of Science ®Google Scholar
• Hao, W., Y. Wang, and W. Liang. 2018. “Slice-Based Building Facade Reconstruction from 3D Point Clouds.” International Journal of Remote Sensing 39 (20): 6587–6606. https://doi.org/10.1080/01431161.2018.1463113.
   Web of Science ®Google Scholar
• Huang, J., X. Zhang, Q. Xin, Y. Sun, and P. Zhang. 2019. “Automatic Building Extraction from High-Resolution Aerial Images and LiDAR Data Using Gated Residual Refinement Network.” ISPRS Journal of Photogrammetry and Remote Sensing 151:91–105. https://doi.org/10.1016/j.isprsjprs.2019.02.019.
   Web of Science ®Google Scholar
• Hu, D., V. J. L. Gan, and C. Yin. 2023. “Robot-Assisted Mobile Scanning for Automated 3D Reconstruction and Point Cloud Semantic Segmentation of Building Interiors.” Automation in Construction 152:104949. https://doi.org/10.1016/j.autcon.2023.104949.
   Web of Science ®Google Scholar
• Hu, H., X. Liang, Y. Ding, X. Yuan, Q. Shang, B. Xu, X. Ge, M. Chen, R. Zhong, and Q. Zhu. 2022. “Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural façade Modelling.” ISPRS Journal of Photogrammetry and Remote Sensing 192:215–231. https://doi.org/10.1016/j.isprsjprs.2022.08.014.
   Web of Science ®Google Scholar
• Khaloo, A., and D. Lattanzi. 2017. “Robust Normal Estimation and Region Growing Segmentation of Infrastructure 3D Point Cloud Models.” Advanced Engineering Informatics 34:1–16. https://doi.org/10.1016/j.aei.2017.07.002.
   Web of Science ®Google Scholar
• Liu, H., W. Li, and J. Zhu 2022. “Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction.” IEEE MultiMedia : 1–11. https://doi.org/10.1109/MMUL.2022.3195990
   Google Scholar
• Lu, X., Y. Liu, and K. Li. 2019. “Fast 3D Line Segment Detection from Unorganized Point Cloud [Internet].” Accessed July 3, 2022. https://doi.org/10.48550/arXiv.1901.02532
   Google Scholar
• Mirzaei, K., M. Arashpour, E. Asadi, H. Masoumi, A. Mahdiyar, and V. Gonzalez. 2023. “End-To-End Point Cloud-Based Segmentation of Building Members for Automating Dimensional Quality Control.” Advanced Engineering Informatics 55:101878. https://doi.org/10.1016/j.aei.2023.101878.
   Web of Science ®Google Scholar
• Pérez, G., A. Escolà, J. R. Rosell-Polo, J. Coma, R. Arasanz, B. Marrero, L. F. Cabeza, and E. Gregorio. 2021. “3D Characterization of a Boston Ivy Double-Skin Green Building Facade Using a LiDAR System.” Building and Environment 206:108320. https://doi.org/10.1016/j.buildenv.2021.108320.
   Web of Science ®Google Scholar
• Poux, F., C. Mattes, Z. Selman, and L. Kobbelt. 2022. “Automatic Region-Growing System for the Segmentation of Large Point Clouds.” Automation in Construction 138:104250. https://doi.org/10.1016/j.autcon.2022.104250.
   Web of Science ®Google Scholar
• Shahzad, M., and X. X. Zhu. 2015. “Robust Reconstruction of Building Facades for Large Areas Using Spaceborne TomoSAR Point Clouds.” IEEE Transactions on Geoscience & Remote Sensing 53 (2): 752–769. https://doi.org/10.1109/TGRS.2014.2327391.
   Web of Science ®Google Scholar
• Steadman, P. 2006. “Why Are Most Buildings Rectangular? Arq.” Architectural Research Quarterly 10 (2): 119–130. https://doi.org/10.1017/S1359135506000200.
   Google Scholar
• Tian, P., X. Hua, W. Tao, and M. Zhang. 2022. “Robust Extraction of 3D Line Segment Features from Unorganized Building Point Clouds.” Remote Sensing 14 (14): 3279. https://doi.org/10.3390/rs14143279.
   Web of Science ®Google Scholar
• Wang, Y., X. Hu, T. Zhou, Y. Ma, and Z. Li. 2023. “Efficient Building Facade Structure Extraction Method Using Image-Based Laser Point Cloud.” Transactions in GIS 27 (4): 1145–1163. https://doi.org/10.1111/tgis.13063.
   Web of Science ®Google Scholar
• Wang, Y., Y. Ma, A. Zhu, H. Zhao, and L. Liao. 2018. “Accurate Facade Feature Extraction Method for Buildings from Three-Dimensional Point Cloud Data Considering Structural Information.” ISPRS Journal of Photogrammetry and Remote Sensing 139:146–153. https://doi.org/10.1016/j.isprsjprs.2017.11.015.
   Web of Science ®Google Scholar
• Wang, Y., T. Zhou, H. Li, W. Tu, J. Xi, and L. Liao. 2022. “Laser Point Cloud Registration Method Based on Iterative Closest Point Improved by Gaussian Mixture Model Considering Corner Features.” International Journal of Remote Sensing 43 (3): 932–960. https://doi.org/10.1080/01431161.2021.2022242.
   Web of Science ®Google Scholar
• Weinmann, M., B. Jutzi, S. Hinz, and C. Mallet. 2015. “Semantic Point Cloud Interpretation Based on Optimal Neighborhoods, Relevant Features and Efficient Classifiers.” Isprs Journal of Photogrammetry & Remote Sensing 105:286–304. https://doi.org/10.1016/j.isprsjprs.2015.01.016.
   Web of Science ®Google Scholar
• Zolanvari, S. M. I., D. F. Laefer, and A. S. Natanzi. 2018. “Three-Dimensional Building façade Segmentation and Opening Area Detection from Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 143:134–149. https://doi.org/10.1016/j.isprsjprs.2018.04.004.
   Web of Science ®Google Scholar