Gabriele Guidi
Papers
3
Total Citations
40
H-Index
3
About
Gabriele Guidi is a researcher specializing in 3D sensing technologies, range sensing systems, and depth camera performance evaluation, with a particular focus on making these technologies accessible for mass-market and advanced applications. His work sits at the intersection of computer vision, digital capture technologies, and human-computer interaction, examining how low-cost depth sensors can be leveraged effectively across diverse real-world contexts. Guidi's most influential contributions center on the rigorous benchmarking and performance analysis of affordable range sensing devices. His widely cited 2016 study on the 3D capturing performances of low-cost range sensors — accumulating over 35 citations across related publications — provided the research community with a systematic framework for evaluating consumer-grade devices such as Microsoft's Kinect, which had rapidly transformed gesture-based interfaces, robotics, and 3D multimedia interaction. This work proved especially valuable for researchers and developers seeking to understand the practical limitations and capabilities of these sensors before deployment. Building on this foundation, his 2019 investigation into RGB-D sensor data quality assessment and improvement demonstrates a continued commitment to advancing the reliability of depth imaging pipelines for sophisticated applications. Together, Guidi's research offers the community both critical evaluation tools and practical pathways to enhanced 3D capture quality, making him a notable voice in applied sensing and digital acquisition research.
Research Focus
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Top Papers
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