A CURVATURE BASED ADAPTIVE NEIGHBORHOOD FOR INDIVIDUAL POINT CLOUD CLASSIFICATION

12 citations as recorded by crossref.

1. Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data E. Dey et al.
2. Adaptive neighbourhood recovery method for machine learning based 3D point cloud classification J. Xue et al.
3. Machine learning-based segmentation of aerial LiDAR point cloud data on building roof E. Dey et al.
4. Segmentation of LiDAR point cloud data in urban areas using adaptive neighborhood selection technique D. Chakraborty et al.
5. Edge highlighting with depth-dependent opacity gradation of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al.
6. 3D reconstruction of Borobudur reliefs from 2D monocular photographs based on soft-edge enhanced deep learning J. Pan et al.
7. Semantic Segmentation for Digital Archives of Borobudur Reliefs Based on Soft-Edge Enhanced Deep Learning S. Ji et al.
8. Edge highlighting of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations D. Aoi et al.
9. Automated lithological classification and boundary mapping from 3D point clouds Z. Wen et al.
10. Laser Scanning based methodology for on-line detection of inclusion in prepreg based composite aircraft manufacturing D. Nayak et al.
11. Discontinuities identification from rock outcrop using auto-encoder and point clouds M. Günen & Ş. Aliyazıcıoğlu
12. A Single Point-Based Multilevel Features Fusion and Pyramid Neighborhood Optimization Method for ALS Point Cloud Classification Y. Li et al.