Monica Carfagni
Papers
5
Total Citations
249
H-Index
4
About
Monica Carfagni is a leading researcher in metrology, 3D scanning, and biomedical engineering, whose work bridges the gap between low-cost sensing technologies and high-precision anatomical reconstruction. Her most influential contributions center on the development and critical characterization of accessible 3D imaging systems. Her landmark 2017 paper on a fast, low-cost acquisition system for human hand-wrist-arm anatomy (108 citations) revolutionized reverse engineering and computer vision applications by making complex anatomical scanning affordable and efficient. Carfagni is equally renowned for her metrological evaluation of the Intel D415 stereo depth camera (107 citations), a study that has become essential reading for researchers in human-machine interaction, robotics, and safety, providing rigorous benchmarks for accuracy and reliability. Her work on dependability in assisted living robotic applications further demonstrates her commitment to translating laboratory innovations into real-world assistive technologies. With over 240 combined citations on her top papers alone, Carfagni’s research has fundamentally shaped how engineers and scientists deploy low-cost RGB-D sensors for biomedical and robotic applications, establishing her as a pivotal figure in the democratization of high-quality 3D imaging.
Research Focus
Key Achievements
Top Papers
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- 2Metrological and Critical Characterization of the Intel D415 Stereo Depth Camera107 citations · 2019
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