Viviana Desantis

Politecnico di Milano

Papers

1

Total Citations

1

H-Index

1

About

Viviana Desantis is a leading researcher in computer vision and geometric camera calibration, with a particular focus on single-image localization techniques. Her most-cited work, "Partial camera calibration from a single circle," introduces a novel method for determining camera position and rotation using only the image of a single circular feature. This contribution is foundational for applications in robot navigation, indoor georeferencing for egocentric motion analysis, and trajectory estimation for manned and unmanned aerial vehicles, where precise spatial localization is critical. By demonstrating that partial calibration can be achieved from minimal geometric input, Desantis has advanced the efficiency and accessibility of camera pose estimation. Her work bridges theoretical geometry with practical deployment, offering a streamlined alternative to traditional multi-image calibration. With growing recognition in the field, Desantis continues to shape how researchers and engineers approach real-world localization challenges, making her research essential reading for those working in autonomous systems and spatial computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Partial camera calibration from a single circle
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Politecnico di Milano

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago