Yuki Ozawa

Tokyo City University

Papers

1

Total Citations

2

H-Index

1

About

Yuki Ozawa is a researcher in computer vision and optical measurement systems, with a primary focus on omnidirectional stereo imaging. His most notable contribution is the development of a novel omnidirectional measurement method that eliminates blind spots by employing convex mirrors, which inherently avoid chromatic aberration. By strategically positioning cameras at the top and bottom of the image to exploit vertical disparity, Ozawa’s approach enables accurate, full-sphere depth estimation without the optical distortions common in traditional systems. This work, published in 2023, has already garnered attention with 2 citations, signaling its emerging impact in the field. Ozawa’s research addresses a critical challenge in robotics, autonomous navigation, and 3D reconstruction—achieving seamless, wide-angle spatial awareness. His method offers a practical, cost-effective alternative to complex multi-camera arrays, making it particularly valuable for real-time applications. As the demand for robust perception systems grows, Ozawa’s innovations in omnidirectional stereo measurement position him as a promising contributor to the next generation of vision-based sensing technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on Omnidirectional Stereo Measurement Using Convex Mirrors and Vertical Disparity
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tokyo City University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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