3D Modelling of Interior Spaces: Learning the Language of Indoor Architecture

37 citations as recorded by crossref.

1. Feasibility of Using Grammars to Infer Room Semantics X. Hu et al.
2. A Fast Method for Identifying Room Configurations from Unit Boundaries in Existing Residential Buildings C. Chen & Z. Liu
3. Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis Y. Zheng et al.
4. Topology Reconstruction of BIM Wall Objects from Point Cloud Data M. Bassier & M. Vergauwen
5. Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo H. Tran & K. Khoshelham
6. A Specialized Pipeline for Efficient and Reliable 3D Semantic Model Reconstruction of Buildings from Indoor Point Clouds C. Fotsing et al.
7. Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud Q. Guo et al.
8. Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper P. Vinodkumar et al.
9. Urban 3D modeling using mobile laser scanning: a review C. Wang et al.
10. From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings H. Macher et al.
11. A Building Information Modeling Approach to Integrate Geomatic Data for the Documentation and Preservation of Cultural Heritage M. Solla et al.
12. Modeling of 3D geometry uncertainty in Scan-to-BIM automatic indoor reconstruction M. Jarząbek-Rychard & H. Maas
13. Room semantics inference using random forest and relational graph convolutional networks: A case study of research building X. Hu et al.
14. Shape Grammar Approach to 3D Modeling of Indoor Environments Using Point Clouds H. Tran et al.
15. Automatic 3-D Reconstruction of Indoor Environment With Mobile Laser Scanning Point Clouds Y. Cui et al.
16. Automated Storey Separation and Door and Window Extraction for Building Models from Complete Laser Scans K. Pexman et al.
17. Detection of doors in a voxel model, derived from a point cloud and its scanner trajectory, to improve the segmentation of the walkable space B. Staats et al.
18. Extracting POP: Pairwise orthogonal planes from point cloud using RANSAC Y. Wu et al.
19. 3D Modeling of Building Indoor Spaces and Closed Doors from Imagery and Point Clouds L. Díaz-Vilariño et al.
20. Indoor Building Reconstruction from Occluded Point Clouds Using Graph-Cut and Ray-Tracing M. Previtali et al.
21. Point Cloud-Based Smart Building Acceptance System for Surface Quality Evaluation D. Cai et al.
22. Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption P. Hübner et al.
23. A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods M. Alatise & G. Hancke
24. Three-Dimensional Reconstruction of Indoor Building Components Based on Multi-Dimensional Primitive Modeling Method J. Lee et al.
25. RETRACTED: Research on Indoor Environment Design Based on VR Technology and Wireless Sensor Network N. Shan
26. The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition F. Yang et al.
27. Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy J. Patil & M. Kalantari
28. Geometric comparison and quality evaluation of 3D models of indoor environments H. Tran et al.
29. Progressive Model-Driven Approach for 3D Modeling of Indoor Spaces A. Abdollahi et al.
30. Automated BIM generation for large-scale indoor complex environments based on deep learning M. Mahmoud et al.
31. 3D Convex Hull-Based Registration Method for Point Cloud Watermark Extraction B. Lipuš & B. Žalik
32. Indoor 3D point cloud reconstruction for scan-to-BIM automation M. Mahmoud et al.
33. Automated 3D volumetric reconstruction of multiple-room building interiors for as-built BIM J. Jung et al.
34. Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018 Q. Wang & M. Kim
35. Parametric as-built model generation of complex shapes from point clouds L. Barazzetti
36. Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories S. Nikoohemat et al.
37. Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application J. Marciniak & H. Janicki