AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND CLASSIFICATION USING GEOMETRICAL RULES

10 citations as recorded by crossref.

1. Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage R. Pierdicca et al.
2. Virtual Disassembling of Historical Edifices: Experiments and Assessments of an Automatic Approach for Classifying Multi-Scalar Point Clouds into Architectural Elements A. Murtiyoso & P. Grussenmeyer
3. Transfer learning and performance enhancement techniques for deep semantic segmentation of built heritage point clouds F. Matrone & M. Martini
4. A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications A. Murtiyoso et al.
5. Multi-scale neighborhood selection network for the Great Wall point cloud segmentation L. Wang et al.
6. Segmentation of Change in Surface Geometry Analysis for Cultural Heritage Applications S. Saha et al.
7. Deep learning methods applied to digital elevation models: state of the art J. Ruiz-Lendínez et al.
8. Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry A. Murtiyoso et al.
9. Data Quality, Semantics, and Classification Features: Assessment and Optimization of Supervised ML-AI Classification Approaches for Historical Heritage V. Cera et al.
10. Systematic review: a bibliometric analysis of building technology and its potential applications to artificial intelligence in the field of cultural heritage conservation from 2013 to 2023 B. Li et al.