POINT CLOUD SEGMENTATION AND SEMANTIC ANNOTATION AIDED BY GIS DATA FOR HERITAGE COMPLEXES

8 citations as recorded by crossref.

1. Semi-Automated Segmentation of Geometric Shapes from Point Clouds R. Honti et al.
2. Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds A. Murtiyoso et al.
3. Deep learning methods applied to digital elevation models: state of the art J. Ruiz-Lendínez et al.
4. 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
5. Transfer learning and performance enhancement techniques for deep semantic segmentation of built heritage point clouds F. Matrone & M. Martini
6. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al.
7. Image processing in the conservation of historic urban areas: the case of Dujiangyan, China D. Li et al.
8. Data enrichment for semantic segmentation of point clouds for the generation of geometric-semantic road models D. Crampen & J. Blankenbach