Naokazu Yokoya
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
Top Papers
- 1Estimating Camera Position and Posture by Using Feature Landmark Database33 citations · 2005
- 2Teleoperation of mobile robots by generating augmented free-viewpoint images28 citations · 2013
- 3Augmented telepresence using autopilot airship and omni-directional camera17 citations · 2010
- 4Memory‐based self‐localization using omnidirectional images17 citations · 2003
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