Francesca Uccheddu

Papers

Total Citations

223

H-Index

About

Francesca Uccheddu is a leading researcher in 3D imaging and metrology, whose work bridges biomedical engineering, computer vision, and reverse engineering. Her key contributions center on developing fast, low-cost acquisition and reconstruction systems for complex anatomical structures, most notably the human hand-wrist-arm. Her 2017 paper on this topic has garnered 108 citations, establishing a foundation for accessible 3D body scanning in health, fashion, and robotics. Uccheddu is also renowned for her critical metrological characterization of low-cost RGB-D cameras, particularly the Intel RealSense D415. Her 2019 study, with 107 citations, provides essential benchmarks for depth camera accuracy, enabling reliable use in human-machine interaction, safety, and biomedical applications. By systematically evaluating these affordable sensors, she has empowered researchers to adopt them for high-precision tasks without expensive equipment. Her work is notable for its practical impact, offering validated, reproducible methods that advance both academic research and real-world engineering. Uccheddu’s contributions are vital for anyone seeking to integrate cost-effective 3D sensing into innovative applications.