VOXEL- AND GRAPH-BASED POINT CLOUD SEGMENTATION OF 3D SCENES USING PERCEPTUAL GROUPING LAWS

22 citations as recorded by crossref.

1. Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model Y. Xu et al. 10.1109/JSTARS.2019.2951293
2. 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
3. A Normalized Spatial–Spectral Supervoxel Segmentation Method for Multispectral Point Cloud Data L. Chen et al. 10.1109/TGRS.2023.3313734
4. Pairwise coarse registration of point clouds in urban scenes using voxel-based 4-planes congruent sets Y. Xu et al. 10.1016/j.isprsjprs.2019.02.015
5. Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation Y. Xie et al. 10.1109/MGRS.2019.2937630
6. Two-Layer-Graph Clustering for Real-Time 3D LiDAR Point Cloud Segmentation H. Yang et al. 10.3390/app10238534
7. DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV W. Song et al. 10.3390/rs14153825
8. Plane-Based Robust Registration of a Building Scan with Its BIM N. Sheik et al. 10.3390/rs14091979
9. Deep-Learning-Based Point Cloud Semantic Segmentation: A Survey R. Zhang et al. 10.3390/electronics12173642
10. A derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds F. Xue et al. 10.1016/j.isprsjprs.2018.12.005
11. A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning Z. Ballouch et al. 10.3390/rs14143415
12. 基于点云数据的三维目标检测技术研究进展 李. Li Jianan et al. 10.3788/AOS230745
13. Efficient point cloud segmentation approach using energy optimization with geometric features for 3D scene understanding X. Li et al. 10.1364/JOSAA.410458
14. Cantilever Structure Segmentation and Parameters Detection Based on Concavity and Convexity of 3-D Point Clouds Z. Han et al. 10.1109/TIM.2019.2930158
15. US2RO: Union of Superpoints to Recognize Objects M. Tiator et al. 10.1142/S1793351X21400146
16. ISPRS Hannover Workshop 2017 D. Holland 10.1111/phor.12203
17. Window Detection from UAS-Derived Photogrammetric Point Cloud Employing Density-Based Filtering and Perceptual Organization S. Malihi et al. 10.3390/rs10081320
18. GESAC: Robust graph enhanced sample consensus for point cloud registration J. Li et al. 10.1016/j.isprsjprs.2020.07.012
19. Pairwise coarse registration of point clouds by traversing voxel-based 2-plane bases Y. Fu et al. 10.1080/01431161.2022.2130725
20. Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key Techniques Y. Xu & U. Stilla 10.1109/JSTARS.2021.3060568
21. Point-attention Net: a graph attention convolution network for point cloudsegmentation S. Chen et al. 10.1007/s10489-022-03985-4
22. A new color distance measure formulated from the cooperation of the Euclidean and the vector angular differences for lidar point cloud segmentation A. SAĞLAM & N. AKHAN BAYKAN 10.26833/ijeg.709212