GEOMETRIC FEATURES ANALYSIS FOR THE CLASSIFICATION OF CULTURAL HERITAGE POINT CLOUDS

22 citations as recorded by crossref.

1. Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation F. Matrone et al. 10.3390/ijgi9090535
2. Two-Dimensional Shape Analysis of Complex Geometry Based on Photogrammetric Models of Iconostases I. Đurić et al. 10.3390/app11157042
3. Transfer learning and performance enhancement techniques for deep semantic segmentation of built heritage point clouds F. Matrone & M. Martini 10.4995/var.2021.15318
4. Application of modern survey and cartographic methods for documenting and presenting existing and historical workings of the UNESCO heritage site: Silver mine in Tarnowskie Góry T. Dąbrowa et al. 10.1051/e3sconf/202456701027
5. Point cloud classification and part segmentation of steel structure elements H. Daif & M. Marzouk 10.1007/s00521-024-10733-x
6. H-BIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction V. Croce et al. 10.3390/s23052497
7. A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification S. Teruggi et al. 10.3390/rs12162598
8. Benchmarking Geometry-Based Leaf-Filtering Algorithms for Tree Volume Estimation Using Terrestrial LiDAR Scanners M. Ali et al. 10.3390/rs16061021
9. An Efficient and General Framework for Aerial Point Cloud Classification in Urban Scenarios E. Özdemir et al. 10.3390/rs13101985
10. Machine Learning for the Semi-Automatic 3D Decay Segmentation and Mapping of Heritage Assets R. Galantucci et al. 10.1080/15583058.2023.2287152
11. 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
12. Multiclass semantic segmentation for digitisation of movable heritage using deep learning techniques G. Patrucco & F. Setragno 10.4995/var.2021.15329
13. 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
14. Pixel-level block classification and crack detection from 3D reconstruction models of masonry structures using convolutional neural networks D. Loverdos & V. Sarhosis 10.1016/j.engstruct.2024.118113
15. An enhanced descriptor extraction algorithm for power line detection from point clouds D. Shokri et al. 10.1111/1745-5871.12604
16. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al. 10.3390/rs13030461
17. Web-based platform to collect, share and manage technical data of historical systemic architectures: the Telegraphic Towers along the Madrid-Valencia path M. Lasorella et al. 10.4995/var.2024.20341
18. An Analysis of Research Trends for Using Artificial Intelligence in Cultural Heritage F. Gîrbacia 10.3390/electronics13183738
19. Networking Historic Environmental Standards to Address Modern Challenges for Sustainable Conservation in HBIM O. Prizeman et al. 10.3390/app10041283
20. Unsupervised Dual Transformer Learning for 3-D Textured Surface Segmentation I. Ganapathi et al. 10.1109/TNNLS.2024.3365515
21. Metrological Analysis with Covariance Features of Micro-Channels Fabricated with a Femtosecond Laser M. Verdi et al. 10.3390/metrology4030024
22. To save from oblivion: Comparative analysis of remote sensing means of documenting forgotten architectural treasures – Zagórz Monastery complex, Poland P. Lewińska et al. 10.1016/j.measurement.2021.110447