Sfoglia per Autore
Analysing Key Steps of the Photogrammetric Pipeline for Museum Artefacts 3D Digitisation
2022-01-01 Farella, Elisa Mariarosaria; Morelli, Luca; Rigon, Simone; Grilli, Eleonora; Remondino, Fabio
The EuroSDR time benchmark for historical aerial images
2022-01-01 Farella, E. M.; Morelli, L.; Remondino, F.; Mills, J. P.; Haala, N.; Crompvoets, J.
Colorizing the Past: Deep Learning for the Automatic Colorization of Historical Aerial Images
2022-01-01 Farella, Elisa Mariarosaria; Malek, Salim; Remondino, Fabio
NeRF for heritage 3D reconstruction
2023-01-01 Mazzacca, G.; Karami, A.; Rigon, S.; Farella, E. M.; Trybala, P.; Remondino, F.
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry
2023-01-01 Marelli, Davide; Morelli, Luca; Farella, Elisa Mariarosaria; Bianco, Simone; Ciocca, Gianluigi; Remondino, Fabio
A semi-automated approach to model architectural elements in Scan-to-BIM processes
2023-01-01 Roman, O.; Avena, M.; Farella, E. M.; Remondino, F.; Spanò, A.
Benchmarking the extraction of 3D geometry from UAV images with deep learning methods
2023-01-01 Nex, F.; Zhang, N.; Remondino, F.; Farella, E. M.; Qin, R.; Zhang, C.
NeRFBK: a holistic dataset for benchmarking NeRF-based 3D reconstruction
2023-01-01 Yan, Z.; Mazzacca, G.; Rigon, S.; Farella, E. M.; Trybala, P.; Remondino, F.
From 3D surveying data to BIM to BEM: the InCUBE dataset
2023-01-01 Roman, O.; Farella, E. M.; Rigon, S.; Remondino, F.; Ricciuti, S.; Viesi, D.
Geometric processing of very high-resolution satellite imagery: quality assessment for 3D mapping needs
2023-01-01 Farella, E. M.; Remondino, F.; Cahalane, C.; Qin, R.; Loghin, A. M.; Di Tullio, M.; Haala, N.; Mills, J.
Methods, data and tools for facilitating a 3D cultural heritage space
2024-01-01 Farella, E. M.; Rigon, S.; Remondino, F.; Stan, A.; Ioannidis, G.; Münster, S.; Medici, M.; Maietti, F.; Sánchez, A.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Analysing Key Steps of the Photogrammetric Pipeline for Museum Artefacts 3D Digitisation | 1-gen-2022 | Farella, Elisa Mariarosaria; Morelli, Luca; Rigon, Simone; Grilli, Eleonora; Remondino, Fabio | |
The EuroSDR time benchmark for historical aerial images | 1-gen-2022 | Farella, E. M.; Morelli, L.; Remondino, F.; Mills, J. P.; Haala, N.; Crompvoets, J. | |
Colorizing the Past: Deep Learning for the Automatic Colorization of Historical Aerial Images | 1-gen-2022 | Farella, Elisa Mariarosaria; Malek, Salim; Remondino, Fabio | |
NeRF for heritage 3D reconstruction | 1-gen-2023 | Mazzacca, G.; Karami, A.; Rigon, S.; Farella, E. M.; Trybala, P.; Remondino, F. | |
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry | 1-gen-2023 | Marelli, Davide; Morelli, Luca; Farella, Elisa Mariarosaria; Bianco, Simone; Ciocca, Gianluigi; Remondino, Fabio | |
A semi-automated approach to model architectural elements in Scan-to-BIM processes | 1-gen-2023 | Roman, O.; Avena, M.; Farella, E. M.; Remondino, F.; Spanò, A. | |
Benchmarking the extraction of 3D geometry from UAV images with deep learning methods | 1-gen-2023 | Nex, F.; Zhang, N.; Remondino, F.; Farella, E. M.; Qin, R.; Zhang, C. | |
NeRFBK: a holistic dataset for benchmarking NeRF-based 3D reconstruction | 1-gen-2023 | Yan, Z.; Mazzacca, G.; Rigon, S.; Farella, E. M.; Trybala, P.; Remondino, F. | |
From 3D surveying data to BIM to BEM: the InCUBE dataset | 1-gen-2023 | Roman, O.; Farella, E. M.; Rigon, S.; Remondino, F.; Ricciuti, S.; Viesi, D. | |
Geometric processing of very high-resolution satellite imagery: quality assessment for 3D mapping needs | 1-gen-2023 | Farella, E. M.; Remondino, F.; Cahalane, C.; Qin, R.; Loghin, A. M.; Di Tullio, M.; Haala, N.; Mills, J. | |
Methods, data and tools for facilitating a 3D cultural heritage space | 1-gen-2024 | Farella, E. M.; Rigon, S.; Remondino, F.; Stan, A.; Ioannidis, G.; Münster, S.; Medici, M.; Maietti, F.; Sánchez, A. |
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