Daisuke Miyazaki

The University of Tokyo

Papers

1

Total Citations

39

H-Index

1

About

Daisuke Miyazaki is a leading researcher in computer vision and computational photography, with a particular focus on using polarization cues to understand and reconstruct real-world scenes. His work bridges the gap between physics-based vision and practical applications, enabling machines to perceive shape, material, and illumination from light’s hidden properties. In his highly cited 2009 paper, *"Estimating Sunlight Polarization Using a Fish-eye Lens"* (39 citations), Miyazaki demonstrated how the polarized light of the sky can be used to determine the sun’s orientation, providing a robust, passive navigation tool for robotics and sensor planning. This foundational contribution shows how environmental light—often treated as noise—can be a rich signal for spatial awareness. Beyond this, Miyazaki has made significant advances in shape-from-polarization and transparent object reconstruction, developing techniques that allow cameras to “see” beyond the visible surface. His work has been instrumental in moving polarization imaging from laboratory curiosity to a practical tool for autonomous systems, material analysis, and augmented reality. With a career marked by elegant, physics-driven solutions, Miyazaki continues to shape how computers interpret the visual world.

Research Focus

Key Achievements

1
H-Index
1
Papers
39
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Estimating Sunlight Polarization Using a Fish-eye Lens
39 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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