Fabio Menna

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Total Citations

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About

Fabio Menna is a leading researcher in low-cost 3D mapping, computer vision, and human motion analysis, with a focus on making advanced spatial sensing accessible across challenging environments. His work bridges the gap between consumer-grade hardware and professional-grade surveying, demonstrated by his pioneering efforts in depth camera calibration for Kinect Fusion—a project that improved real-time 3D modeling and gesture recognition, earning 28 citations. Menna’s most impactful contribution is the development of a modular, low-cost portable vSLAM system capable of real-time 3D mapping in indoor, outdoor, and even underwater settings, a breakthrough that has garnered 16 citations and promises to democratize spatial intelligence for robotics and surveying. He also advanced biomechanics with a low-cost human motion capture system for postural analysis onboard ships, cited 13 times, addressing critical safety and ergonomic challenges in maritime environments. Menna’s work is distinguished by its practical, cross-domain applicability—from entertainment to underwater exploration—and his commitment to reducing barriers to high-performance 3D sensing. His achievements reflect a rare ability to combine affordability with robustness, making him a key figure in the evolution of portable, real-time mapping technologies.