A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION

26 citations as recorded by crossref.

1. GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data R. Pierdicca & M. Paolanti 10.5194/gi-11-195-2022
2. A Multilevel Multiresolution Machine Learning Classification Approach: A Generalization Test on Chinese Heritage Architecture K. Zhang et al. 10.3390/heritage5040204
3. Semantic segmentation of point clouds of ancient buildings based on weak supervision J. Zhao et al. 10.1186/s40494-024-01353-8
4. Shaping Digital Twin Concept for Built Cultural Heritage Conservation: A Systematic Literature Review A. Vuoto et al. 10.1080/15583058.2023.2258084
5. Integrating Inverse Photogrammetry and a Deep Learning–Based Point Cloud Segmentation Approach for Automated Generation of BIM Models Z. Xiang et al. 10.1061/JCEMD4.COENG-13020
6. Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry A. Murtiyoso et al. 10.3390/s22030966
7. Fast adaptive multimodal feature registration (FAMFR): an effective high-resolution point clouds registration workflow for cultural heritage interiors P. Foryś et al. 10.1186/s40494-023-01018-y
8. 3DLEB-Net: Label-Efficient Deep Learning-Based Semantic Segmentation of Building Point Clouds at LoD3 Level Y. Cao & M. Scaioni 10.3390/app11198996
9. Semi-automatic classification of digital heritage on the Aïoli open source 2D/3D annotation platform via machine learning and deep learning V. Croce et al. 10.1016/j.culher.2023.05.017
10. Deep Learning for LiDAR Point Cloud Classification in Remote Sensing A. Diab et al. 10.3390/s22207868
11. Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks R. Mahmoudi Kouhi et al. 10.3390/rs15040982
12. From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage J. Ponciano et al. 10.3390/rs13112226
13. DALES Objects: A Large Scale Benchmark Dataset for Instance Segmentation in Aerial Lidar N. Singer & V. Asari 10.1109/ACCESS.2021.3094127
14. H-BIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction V. Croce et al. 10.3390/s23052497
15. SVD-based point cloud 3D stone by stone segmentation for cultural heritage structural analysis – The case of the Apollo Temple at Delphi D. Galanakis et al. 10.1016/j.culher.2023.04.005
16. Segmentation of 3D Point Clouds of Heritage Buildings Using Edge Detection and Supervoxel-Based Topology S. Salamanca et al. 10.3390/s24134390
17. DGPCD: a benchmark for typical official-style Dougong in ancient Chinese wooden architecture C. Zhou et al. 10.1186/s40494-024-01293-3
18. Detailed Three-Dimensional Building Façade Reconstruction: A Review on Applications, Data and Technologies A. Klimkowska et al. 10.3390/rs14112579
19. From 3D point clouds to HBIM: Application of Artificial Intelligence in Cultural Heritage V. Cotella 10.1016/j.autcon.2023.104936
20. Transfer learning and performance enhancement techniques for deep semantic segmentation of built heritage point clouds F. Matrone & M. Martini 10.4995/var.2021.15318
21. 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
22. BubblEX: An Explainable Deep Learning Framework for Point-Cloud Classification F. Matrone et al. 10.1109/JSTARS.2022.3195200
23. Development of historic building information modelling: a systematic literature review S. Bastem & A. Cekmis 10.1080/09613218.2021.1983754
24. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al. 10.3390/rs13030461
25. Semantic-guided 3D building reconstruction from triangle meshes S. Wang et al. 10.1016/j.jag.2023.103324
26. Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey A. Basu et al. 10.1109/ACCESS.2023.3280639