UNSUPERVISED SEGMENTATION OF INDOOR 3D POINT CLOUD: APPLICATION TO OBJECT-BASED CLASSIFICATION

21 citations as recorded by crossref.

1. Vo-Norvana : Versatile Framework for Efficient Segmentation of Large Point Cloud Data Sets E. Che & M. Olsen https://doi.org/10.1061/JCCEE5.CPENG-4979
2. Indoor scan-to-BIM workflows: Progress, challenges, and future directions (2014–2024) Y. Chen & X. Luo https://doi.org/10.1016/j.autcon.2025.106578
3. 3D indoor modeling and game theory based navigation for pre and post COVID-19 situation J. Singh et al. https://doi.org/10.3389/fpubh.2023.1301607
4. From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage J. Ponciano et al. https://doi.org/10.3390/rs13112226
5. Machine Learning-Based Human Posture Identification from Point Cloud Data Acquisitioned by FMCW Millimetre-Wave Radar G. Zhang et al. https://doi.org/10.3390/s23167208
6. US2RO: Union of Superpoints to Recognize Objects M. Tiator et al. https://doi.org/10.1142/S1793351X21400146
7. Cross-modal semantic transfer for point cloud semantic segmentation Z. Cao et al. https://doi.org/10.1016/j.isprsjprs.2025.01.024
8. UMA-Net: an unsupervised representation learning network for 3D point cloud classification J. Liu et al. https://doi.org/10.1364/JOSAA.456153
9. Towards automatic flatness quality assessment for building indoor acceptance via terrestrial laser scanning Y. Cao et al. https://doi.org/10.1016/j.measurement.2022.111862
10. A Survey on Point Cloud-based 3D Mesh Reconstruction for Large Scale Facilities J. Lee et al. https://doi.org/10.57062/ijpem-st.2026.00045
11. FASTSeg3D: A Fast, Efficient, and Adaptive Ground Filtering Algorithm for 3D Point Clouds in Mobile Sensing Applications D. Oladele et al. https://doi.org/10.3390/ai6050097
12. SAMNet++: A Segment Anything Model for Supervised 3D Point Cloud Semantic Segmentation M. Shahraki et al. https://doi.org/10.3390/rs17071256
13. Toward a Unified Smart Point Cloud Framework: A Systematic Review of Definitions, Methods, and a Modular Knowledge-Integrated Pipeline M. Salaheldin et al. https://doi.org/10.3390/buildings16020293
14. Enhancing Robot Inclusivity in the Built Environment: A Digital Twin-Assisted Assessment of Design Guideline Compliance A. Ezhilarasu et al. https://doi.org/10.3390/buildings14051193
15. 基于密度比例增长一致性原理的车身构件点云分割算法 廖. Liao Zehang et al. https://doi.org/10.3788/LOP232714
16. Geometric Accuracy of 3D Reality Mesh Utilization for BIM-Based Earthwork Quantity Estimation Workflows P. Kavaliauskas et al. https://doi.org/10.3390/ijgi10060399
17. A Built Heritage Information System Based on Point Cloud Data: HIS-PC F. Poux et al. https://doi.org/10.3390/ijgi9100588
18. Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification S. Morsy & A. Shaker https://doi.org/10.3390/rs14235934
19. Ceiling Equipment Extraction from TLS Point Clouds for Reflected Ceiling Plan Creation R. Akiyama et al. https://doi.org/10.20965/ijat.2024.p0603
20. Optimization algorithms for dynamic environmental sensing and motion planning of quadruped robots in complex environments on unmanned offshore platforms K. Liu et al. https://doi.org/10.1088/1361-6501/ad8fc2
21. Automated indoor construction inspection platform based on source-level non-redundant point cloud Z. Zhang et al. https://doi.org/10.1088/1361-6501/ae6c4f