GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION

40 citations as recorded by crossref.

1. Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes M. Jarząbek-Rychard et al. 10.3390/rs12030543
2. Metrological Analysis with Covariance Features of Micro-Channels Fabricated with a Femtosecond Laser M. Verdi et al. 10.3390/metrology4030024
3. Automatic Segmentation of Individual Grains From a Terrestrial Laser Scanning Point Cloud of a Mountain River Bed A. Walicka & N. Pfeifer 10.1109/JSTARS.2022.3141892
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7. Machine Learning-Based Monitoring for Planning Climate-Resilient Conservation of Built Heritage L. Fiorini et al. 10.3390/drones8060249
8. Large-Scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF W. Han et al. 10.3390/s20061700
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10. Extraction of Corresponding Point Cloud Features Based on Least Squares Deviation Analysis Z. Xing et al. 10.54691/rhdwg968
11. Laser reflectance feature assisted accurate extrinsic calibration for non-repetitive scanning LiDAR and camera systems Z. Lai et al. 10.1364/OE.453449
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14. Automating the inventory of the navigable space for pedestrians on historical sites: Towards accurate path planning D. Treccani et al. 10.1016/j.jag.2023.103400
15. Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques K. Aksu & H. Demirel 10.1109/ACCESS.2024.3423425
16. Stem Detection from Terrestrial Laser Scanning Data with Features Selected via Stem-Based Evaluation M. Chen et al. 10.3390/f14102035
17. Machine Learning Vegetation Filtering of Coastal Cliff and Bluff Point Clouds P. Wernette 10.3390/rs16122169
18. Robust Building Detection in Urban Environments from Airborne LiDAR Data: A Geometry-Based Approach R. dos Santos & M. Galo 10.1109/JSTARS.2024.3391050
19. Lightweight and rotation-invariant place recognition network for large-scale raw point clouds Z. Zhang et al. 10.1016/j.isprsjprs.2024.04.030
20. Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P. Hübner et al. 10.1016/j.isprsjprs.2021.07.002
21. Inferring an animal’s environment through biologging: quantifying the environmental influence on animal movement J. Eikelboom et al. 10.1186/s40462-020-00228-4
22. Structural segmentation and classification of mobile laser scanning point clouds with large variations in point density Y. Li et al. 10.1016/j.isprsjprs.2019.05.007
23. Evaluating state-of-the-art 3D scanning methods for stem-level biodiversity inventories in forests C. Fol et al. 10.1016/j.jag.2023.103396
24. Classification using a three-dimensional sensor in a structured industrial environment I. Mikhailov et al. 10.1117/1.JEI.29.4.041008
25. Evaluation of data subsampling and neighbourhood selection for mobile LiDAR data classification M. Mohamed et al. 10.1016/j.ejrs.2021.04.003
26. Classification of Terrestrial Laser Scanner Point Clouds: A Comparison of Methods for Landslide Monitoring from Mathematical Surface Approximation G. Kermarrec et al. 10.3390/rs14205099
27. Building a Mycenaean chamber tomb catalogue from terrestrial laser scan data I. Gutierrez et al. 10.1016/j.daach.2024.e00319
28. NSS-MDL: Natural Scene Statistics-guided multi-task deep learning for no-reference point cloud quality assessment S. Bourbia et al. 10.1016/j.iswa.2025.200570
29. Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework T. Seco et al. 10.3390/s22041390
30. Efficient 3D Mapping and Modelling of Indoor Scenes with the Microsoft HoloLens: A Survey M. Weinmann et al. 10.1007/s41064-021-00163-y
31. A Knowledge-Based Multi-Scale Adaptive Classification Approach for Mobile Laser Scanning Point Clouds in Urban Scenes M. Zheng et al. 10.1109/ACCESS.2023.3335607
32. A Maximum Entropy-Based Optimal Neighbor Selection for Multispectral Airborne LiDAR Point Cloud Classification G. Jiang et al. 10.1109/TGRS.2023.3323963
33. Automated classification of piping components from 3D LiDAR point clouds using SE-PseudoGrid C. Yin et al. 10.1016/j.autcon.2022.104300
34. Machine Learning and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure D. Billi et al. 10.3390/rs15081961
35. An algorithm for measuring landslide deformation in terrestrial lidar point clouds using trees L. Weidner et al. 10.1007/s10346-021-01723-4
36. A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds Y. Yang et al. 10.1016/j.cageo.2021.104932
37. Evaluation of Class Distribution and Class Combinations on Semantic Segmentation of 3D Point Clouds With PointNet E. Barnefske & H. Sternberg 10.1109/ACCESS.2022.3233411
38. Methodology for Identifying Optimal Pedestrian Paths in an Urban Environment: A Case Study of a School Environment in A Coruña, Spain D. Fernández-Arango et al. 10.3390/smartcities7030060
39. Toward a Data Fusion Index for the Assessment and Enhancement of 3D Multimodal Reconstruction of Built Cultural Heritage A. Pamart et al. 10.3390/rs15092408
40. Improvement of 3D LiDAR point cloud classification of urban road environment based on random forest classifier M. Mohamed et al. 10.1080/10106049.2022.2102218