Comparison of 3D interest point detectors and descriptors for point cloud fusion

32 citations as recorded by crossref.

1. Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching J. Yang et al.
2. Toward a Data Fusion Index for the Assessment and Enhancement of 3D Multimodal Reconstruction of Built Cultural Heritage A. Pamart et al.
3. Virtual ground truth, and pre-selection of 3D interest points for improved repeatability evaluation of 2D detectors S. Lang et al.
4. Semantic segmentation of 3D LiDAR data using deep learning: a review of projection-based methods A. Jhaldiyal & N. Chaudhary
5. A Multistation 3D Point Cloud Automated Global Registration and Accurate Positioning Method for Railway Tunnels J. Wang et al.
6. A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching J. Yang et al.
7. Revue des descripteurs tridimensionnels (3D) pour la catégorisation des nuages de points acquis avec un système LiDAR de télémétrie mobile S. Daniel
8. A Tutorial Review on Point Cloud Registrations: Principle, Classification, Comparison, and Technology Challenges L. Li et al.
9. Feature-based RGB-D camera pose optimization for real-time 3D reconstruction C. Wang & X. Guo
10. Alignment of dental depth images from an intraoral scanner M. Ko & S. Park
11. Performance evaluation of single and cross‐dimensional feature detection and description O. Kechagias‐Stamatis et al.
12. Sensing and Artificial Perception for Robots in Precision Forestry: A Survey J. Ferreira et al.
13. Automatic Registration of TLS-TLS and TLS-MLS Point Clouds Using a Genetic Algorithm L. Yan et al.
14. Efficient point cloud corrections for mobile monitoring applications using road/rail-side infrastructure H. Jing et al.
15. Lokal özellik temelli yöntemler kullanılarak 3B yüz tanıma ve doğruluk analizi M. ATİK & Z. DURAN
16. Automatic co-registration of 3D multi-sensor point clouds R. Persad & C. Armenakis
17. Parallel RANSAC for Point Cloud Registration D. Koguciuk
18. Automatic Registration of Very Low Overlapping Array InSAR Point Clouds in Urban Scenes X. Tong et al.
19. 3D model assisted fully automated scanning laser Doppler vibrometer measurements S. Sels et al.
20. Globally consistent registration of terrestrial laser scans via graph optimization P. Theiler et al.
21. ActivationNet: Representation Learning to Predict Contact Quality of Interacting 3D Surfaces in Engineering Designs R. Ranade & J. Pathak
22. An assessment of 2-D and 3-D interest point detectors in volumetric images C. Nur Öztürk
23. Dynamic Workpiece Modeling with Robotic Pick-Place Based on Stereo Vision Scanning Using Fast Point-Feature Histogram Algorithm Q. Do et al.
24. Lernende Roboter für die spanende Bearbeitung leicht zerspanbarer Materialien C. Gollee et al.
25. V2PNet: Voxel-to-Point Feature Propagation and Fusion That Improves Feature Representation for Point Cloud Registration H. Hu et al.
26. Keypoint Detection Based on Curvature Grouping and Adaptive Sampling B. Li et al.
27. A Weakly Supervised Graph Deep Learning Framework for Point Cloud Registration L. Sun et al.
28. A generalised framework for saliency-based point feature detection M. Brown et al.
29. FPFH Revisited: Histogram Resolutions, Improved Features, and Novel Representation J. Szalai-Gindl & D. Varga
30. Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art P. Ghamisi et al.
31. Automatic registration of unordered point clouds acquired by Kinect sensors using an overlap heuristic T. Weber et al.
32. 3D object recognition method with multiple feature extraction from LiDAR point clouds Y. Tian et al.