FROM 2D TO 3D SUPERVISED SEGMENTATION AND CLASSIFICATION FOR CULTURAL HERITAGE APPLICATIONS

22 citations as recorded by crossref.

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3. Transforming Architectural Digitisation: Advancements in AI-Driven 3D Reality-Based Modelling K. Zhang & F. Fassi 10.3390/heritage8020081
4. Image Abstraction Framework as a Pre-processing Technique for Accurate Classification of Archaeological Monuments Using Machine Learning Approaches M. Pavan Kumar et al. 10.1007/s42979-021-00935-8
5. Integration and Comparison Methods for Multitemporal Image-Based 2D Annotations in Linked 3D Building Documentation J. Taraben & G. Morgenthal 10.3390/rs14092286
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7. 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
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10. Condition Assessment of Heritage Buildings via Photogrammetry: A Scoping Review from the Perspective of Decision Makers M. De Fino et al. 10.3390/heritage6110367
11. Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage R. Pierdicca et al. 10.3390/rs12061005
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13. Application of Deep Learning Approach for the Classification of Buildings’ Degradation State in a BIM Methodology F. Rodrigues et al. 10.3390/app12157403
14. A Stratigraphic Information System for the Study of Architectural Heritage Assets’ Morphogenesis F. Haouacha et al. 10.1080/15583058.2025.2492239
15. Evaluation of Class Distribution and Class Combinations on Semantic Segmentation of 3D Point Clouds With PointNet E. Barnefske & H. Sternberg 10.1109/ACCESS.2022.3233411
16. The Point Cloud Semantic Segmentation Method for the Ming and Qing Dynasties’ Official-Style Architecture Roof Considering the Construction Regulations Y. Dong et al. 10.3390/ijgi11040214
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19. Machine Learning for the Semi-Automatic 3D Decay Segmentation and Mapping of Heritage Assets R. Galantucci et al. 10.1080/15583058.2023.2287152
20. Automated Mapping of the roof damage in historic buildings in seismic areas with UAV photogrammetry F. Fiorillo et al. 10.1016/j.prostr.2023.01.214
21. A data-driven framework for seismic fragility and performance degradation assessment of historical masonry pagodas: integrating multi-task machine learning and interpretable uncertainty quantification Y. Li et al. 10.1007/s10518-025-02280-0
22. Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection R. Janković 10.3390/info11010012