His main research concerns Photogrammetry, Artificial intelligence, Computer vision, 3D modeling and Point cloud. Photogrammetry is a subfield of Remote sensing that Fabio Remondino studies. When carried out as part of a general Artificial intelligence research project, his work on Image is frequently linked to work in Robotics, therefore connecting diverse disciplines of study.
His Image processing, Orientation, Camera resectioning and Feature extraction study, which is part of a larger body of work in Computer vision, is frequently linked to Automation, bridging the gap between disciplines. Within one scientific family, Fabio Remondino focuses on topics pertaining to Cultural heritage under 3D modeling, and may sometimes address concerns connected to Virtual reality, Multimedia and Visualization. His studies in Point cloud integrate themes in fields like Noise, Geometric primitive, Commercial software, Statistical classification and Image matching.
Artificial intelligence, Photogrammetry, Computer vision, Point cloud and Cultural heritage are his primary areas of study. His 3D reconstruction, Image, Bundle adjustment, Object and Feature extraction investigations are all subjects of Artificial intelligence research. His study looks at the intersection of Photogrammetry and topics like 3D modeling with Engineering drawing.
His work on Orientation, Image processing, Camera resectioning and Feature as part of his general Computer vision study is frequently connected to Oblique case, thereby bridging the divide between different branches of science. His Point cloud research includes elements of Segmentation, Process and Ground truth, Machine learning, Deep learning. His Cultural heritage study integrates concerns from other disciplines, such as Field, Multimedia, Visualization, Documentation and Data science.
His primary areas of investigation include Artificial intelligence, Photogrammetry, Point cloud, Computer vision and 3D reconstruction. His studies link Machine learning with Artificial intelligence. His study with Photogrammetry involves better knowledge in Remote sensing.
His studies deal with areas such as Cultural heritage, Lidar, Documentation and 3D city models as well as Point cloud. Fabio Remondino is interested in Feature, which is a field of Computer vision. His 3D reconstruction study also includes fields such as
His scientific interests lie mostly in Artificial intelligence, Point cloud, Photogrammetry, Computer vision and 3D reconstruction. His research brings together the fields of Cultural heritage and Artificial intelligence. Fabio Remondino has included themes like Change detection, Remote sensing, Data mining, Cadastre and Ground truth in his Point cloud study.
The various areas that he examines in his Photogrammetry study include Orientation, Lens, Optics and Underwater. His work on Feature and Depth of field as part of general Computer vision study is frequently linked to Tractography and Human brain, bridging the gap between disciplines. His studies in 3D reconstruction integrate themes in fields like Pipeline, Open source, Open source software and Engineering drawing.
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UAV for 3D mapping applications: a review
Francesco Carlo Nex;Fabio Remondino.
Applied Geomatics (2014)
IMAGE-BASED 3D MODELLING: A REVIEW
Fabio Remondino;Sabry El-Hakim.
Photogrammetric Record (2006)
UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING - CURRENT STATUS AND FUTURE PERSPECTIVES -
F. Remondino;L. Barazzetti;F.C. Nex;M. Scaioni.
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2012)
Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning
Remote Sensing (2011)
Digital camera calibration methods: Considerations and comparisons
Fabio Remondino;Clive Fraser.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2006)
Evaluating multispectral images and vegetation indices for precision farming applications from UAV images
Sebastian Candiago;Fabio Remondino;Michaela De Giglio;Marco Dubbini.
Remote Sensing (2015)
State of the art in high density image matching
Fabio Remondino;Maria Grazia Spera;Erica Nocerino;Fabio Menna.
Photogrammetric Record (2014)
UAV photogrammetry for mapping and 3d modelling: current status and future perspectives
F. Remondino;L. Barazzetti;F. Nex;M. Scaioni.
Int. Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (2011)
Low-Cost and open-source solutions for automated image orientation --- a critical overview
Fabio Remondino;Silvio Del Pizzo;Thomas P. Kersten;Salvatore Troisi.
international conference on progress in cultural heritage preservation (2012)
Calibration for increased accuracy of the range imaging camera SwissRanger
Timo Kahlmann;Fabio Remondino;Hilmar Ingensand.
Proceedings of the ISPRS Commission V Symposium 'Image Engineering and Vision Metrology' (2006)
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