SEMANTIC PHOTOGRAMMETRY – BOOSTING IMAGE-BASED 3D RECONSTRUCTION WITH SEMANTIC LABELING

12 citations as recorded by crossref.

1. Simultaneous identification of points and circles: structure from motion system in industry scenes T. Ni et al. 10.1007/s10044-020-00889-2
2. Transfer learning and performance enhancement techniques for deep semantic segmentation of built heritage point clouds F. Matrone & M. Martini 10.4995/var.2021.15318
3. Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage R. Pierdicca et al. 10.3390/rs12061005
4. A Reconstruction Methodology of Dynamic Construction Site Activities in 3D Digital Twin Models Based on Camera Information J. He et al. 10.3390/buildings14072113
5. Multiclass semantic segmentation for digitisation of movable heritage using deep learning techniques G. Patrucco & F. Setragno 10.4995/var.2021.15329
6. A review on artificial intelligence applications for facades A. Duran et al. 10.1016/j.buildenv.2024.112310
7. Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas E. Stathopoulou et al. 10.3390/rs13061053
8. Confidence-Guided Planar-Recovering Multiview Stereo for Weakly Textured Plane of High-Resolution Image Scenes C. Fu et al. 10.3390/rs15092474
9. A Multiview Stereo Algorithm Based on Image Segmentation Guided Generation of Planar Prior for Textureless Regions of Artificial Scenes N. Huang et al. 10.1109/JSTARS.2023.3237588
10. A 3D digitisation workflow for architecture-specific annotation of built heritage M. Deligiorgi et al. 10.1016/j.jasrep.2020.102787
11. Semantic segmentation and photogrammetry of crowdsourced images to monitor historic facades Z. Liu et al. 10.1186/s40494-022-00664-y
12. Oblique View Selection for Efficient and Accurate Building Reconstruction in Rural Areas Using Large-Scale UAV Images Y. Liang et al. 10.3390/drones6070175