Morelli, Luca

Morelli, Luca  

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Titolo Data di pubblicazione Autore(i) File
Aerial triangulation with learning-based tie points 1-gen-2022 Remondino, F.; Morelli, L.; Stathopoulou, E.; Elhashash, M.; Qin, R.
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
euro 1-gen-2022 Bellavia, Fabio; Morelli, Luca; 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.
Evaluating hand-crafted and learning-based features for photogrammetric applications 1-gen-2021 Remondino, F.; Menna, F.; Morelli, L.
Handcrafted and learning-based tie point features-comparison using the EuroSDR RPAS benchmark datasets 1-gen-2022 Peppa, M. V.; Morelli, L.; Mills, J. P.; Penna, N. T.; Remondino, F.
Handling critical aspects in massive photogrammetric digitazion of museum assets 1-gen-2022 Farella, E. M.; Morelli, L.; Grilli, E.; Rigon, S.; Remondino, F.
Image orientation with a hybrid pipeline robust to rotations and wide-baselines 1-gen-2022 Bellavia, F.; Morelli, L.; Menna, F.; Remondino, F.