Naokazu Yokoya

Nara Institute of Science and Technology

Papers

10

Total Citations

134

H-Index

6

About

Naokazu Yokoya is a pioneering researcher in the fields of computer vision, augmented reality (AR), and robotics teleoperation. His major contributions center on developing intuitive interfaces for remote robot control and robust camera localization techniques. Yokoya's work on "Estimating Camera Position and Posture by Using Feature Landmark Database" (33 citations) established a foundational method for vision-based localization, crucial for AR and robot navigation. He advanced this with a memory-based self-localization approach using omnidirectional images (17 citations), enabling robots to recognize their environment without GPS. In teleoperation, Yokoya's most impactful work includes a free-viewpoint interface that generates realistic, operator-driven viewpoints from a head-mounted display, allowing intuitive control of mobile robots (28 citations). He also proposed "augmented telepresence" systems using autopilot airships and omnidirectional cameras (17 citations), blending remote views with AR information. His research consistently bridges virtual and physical worlds, creating immersive, user-centric interfaces that enhance situational awareness. With over 130 total citations across his top papers, Yokoya's innovations in view-dependent image generation and feature landmark databases have significantly influenced modern AR and robotics, making remote operation more natural and effective.

Research Focus

Key Achievements

6
H-Index
10
Papers
134
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Estimating Camera Position and Posture by Using Feature Landmark Database
33 citations · 2005
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Nara Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago