Ryu Miyahara
Papers
2
Total Citations
4
H-Index
2
About
Ryu Miyahara is a researcher advancing the field of augmented reality through innovations in marker-based tracking and computer vision. His primary research areas include micro AR marker recognition, dynamic camera parameter control, and high-accuracy position and posture estimation. Miyahara’s major contribution is the development of a novel method that dynamically controls camera parameters—such as exposure and focus—to enable robust detection of highly miniaturized AR markers using low-cost, general-purpose cameras. This approach iteratively calculates a marker’s position and posture, converging to precise estimates even under challenging conditions, thereby expanding the operational range and accuracy of AR systems. His work, detailed in the 2023 paper "High Accuracy and Wide Range Recognition of Micro AR Markers with Dynamic Camera Parameter Control," has garnered attention with 2 citations, reflecting its emerging impact in the AR community. By making micro AR marker tracking accessible with affordable hardware, Miyahara’s research holds promise for applications in manufacturing, robotics, and interactive displays, where space constraints demand tiny yet reliable visual fiducials.
Research Focus
Key Achievements
Top Papers
- 1
- 2