Software
Here a list of some tools developed during past projects and research activities. If you use them, please cite the related publication and/or FBK-3DOM, thank you :)
Multi-tiling neural radiance field (NeRF)
https://github.com/GDAOSU/multicamera_nerf
Related publication: Xu, N., Qin, R, Huang, D., Remondino, F., 2024: Multi-tiling neural radiance field (NeRF)—geometric assessment on large-scale aerial datasets. Photogrammetric Record, https://doi.org/10.1111/phor.12498
Depth estimation and 3D model reconstruction from aerial imagery
https://github.com/UseGeoEvaluation/DepthEstimationAnd3DReconstruction
Related publication: M. Hermann, M. Weinmann, F. Nex, E.K. Stathopoulou, F. Remondino, B. Jutzi, B. Ruf, 2024: Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset. ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 13, 100065
DEEP-IMAGE-MATCHING
https://github.com/3DOM-FBK/deep-image-matching
Related publication: Morelli, L., Bellavia, F., Menna, F., Remondino, F., 2022: Photogrammetry now and then – from hand-crafted to deep-learning tie points. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2/W1-2022, 163–170
COLMAP-SLAM
https://github.com/3DOM-FBK/COLMAP_SLAM
Related publication: Morelli, L., Ioli, F., Beber, R., Menna, F., Remondino, F. and Vitti, A., 2023. COLMAP-SLAM: A framework for visual odometry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, pp.317-324.
OpenMVS - our implementation of Multiple View Stereo with quadtree-guided priors
https://github.com/3DOM-FBK/openMVS
Related publication: E.K. Stathopoulou, R. Battisti, D. Cernea, A. Georgopoulos, F. Remondino, 2023: Multiple View Stereo with quadtree-guided priors. ISPRS J. of Photogrammetry and Remote Sensing, Vol. 196, pp. 197-209
UAV LiDAR Flight Planner
https://github.com/Photogrammtery-Topics/UAV-Lidar-flight-planner
Related publication: Alsadik, B., Remondino, F., 2020: Flight planning for LiDAR-based UAS mapping applications. ISPRS International Journal of Geo-Information, 9(6), 378
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation
https://github.com/vlkniaz/SSZ
Related publication: V.V. Kniaz, V.A. Knyaz, F. Remondino, A. Bordodymov, P. Moshkantsev, 2020: Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation. Proc. ECCV 2020, pp 105-12
PhotoMatch - An educational open-source tool for tie point extractions and image matching
https://github.com/TIDOP-USAL/photomatch/releases
Related publication: D. González-Aguilera, E. Ruiz de Ona, L. López-Fernandez, E. M. Farella, E.K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, F. Nex, 2020: PhotoMatch - An open-source multi-view and multi-modal feature matching tool for photogrammetric applications. ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219
Z-GAN - Image-to-Voxel Model Translation with Conditional Adversarial Networks (Best paper at ECCV 2018):
https://github.com/vlkniaz/Z_GAN
Related publication: Knyaz, V.A., Knyaz, V.V., Remondino, F., 2018: Image-to-Voxel Model Translation with Conditional Adversarial Networks. Proc. ECCV 2018 Workshop on "Recovering 6D Object Pose", LNCS Vol. 11129, DOI: https://doi.org/10.1007/978-3-030-11009-3_37
ORION - An open source low-cost automatic system for image-based 3D digitizations
https://github.com/Gekk0r/Orion-scan
Related publication: Menna, F., Nocerino, E., Morabito, D., Farella, E. M., Perini, M., Remondin0, 2017: An open source low-cost automatic system for image-based 3D digitization. ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLII-2/W8, pp. 155-162
GRAPHOS - All-Purpose Open-Source Photogrammetric Tool
https://github.com/itos3d/GRAPHOS
Related publication: González-Aguilera, D., López-Fernández, L., Rodriguez-Gonzalvez, P., Guerrero, D., Hernandez-Lopez, D., Remondino, F., Menna, F., Nocerino, E., Toschi, I., Ballabeni, A. and Gaiani, M., 2016: Development of An All-Purpose Free Photogrammetric Tool. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B6, pp.31-38
Project partners: University of Salamanca in Avila (Spain), University of Castilla La Mancha (Spain) and University of Bologna (Italy)
STEM - Machine learning methods for LULC map production
https://github.com/ProvinciaAutonomaTrento/STEM
Related publication: Nex, F., Delucchi, L., Gianelle, D., Neteler,M., Remondino, F., Dalponte, M., 2015: Land cover classification and monitoring: the STEM open source solution. European Journal of Remote Sensing, Vol. 48, pp. 811-831, doi: 10.5721/EuJRS20154845
Project partner: Autonomous Province of Trento (Italy), Trilogis (Italy), Fondazione Edmund Mach - FEM (Italy)