Fabio Remondino
Papers
15
Total Citations
538
H-Index
9
About
Fabio Remondino is a leading figure in photogrammetry, 3D computer vision, and mobile mapping, renowned for advancing the accuracy and accessibility of 3D reconstruction technologies. His major contributions span from pioneering the calibration of Time-of-Flight (TOF) range-imaging cameras—a foundational work that has garnered over 175 citations—to developing robust feature detectors and descriptors for photogrammetric applications. Remondino has been instrumental in bridging the gap between high-end surveying and low-cost, real-time systems, as evidenced by his work on Kinect Fusion calibration and modular VSLAM systems capable of mapping from indoor spaces to underwater environments. With a strong focus on cultural heritage, his research on 3D documentation techniques has provided invaluable tools for preserving historical artifacts. His recent efforts include key-frame selection methods for visual-inertial systems and the creation of the MIN3D dataset for multi-sensor mapping, demonstrating his ongoing impact on autonomous navigation and robotic surveying. With over 500 citations across his most influential papers, Remondino’s work continues to shape the future of 3D mapping, making complex technologies more practical and widely applicable.
Research Focus
Key Achievements
Top Papers
- 1Calibration for increased accuracy of the range imaging camera SwissRanger175 citations · 2006
- 2TOF Range-Imaging Cameras144 citations · 2013
- 3Detectors and Descriptors for Photogrammetric Applications73 citations · 2006
- 4Kinect Fusion improvement using depth camera calibration28 citations · 2014
- 5The potential of 3D techniques for cultural heritage object documentation25 citations · 2007
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- 8MIN3D Dataset: MultI-seNsor 3D Mapping with an Unmanned Ground Vehicle11 citations · 2023
- 9Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping10 citations · 2024
- 10An Imaging Network Design for UGV-Based 3D Reconstruction of Buildings9 citations · 2021