Tomoyuki Kudou
Papers
1
Total Citations
2
H-Index
1
About
Tomoyuki Kudou is a researcher in computer vision and robotics, with a focus on 3D shape recovery and motion stereo under challenging environmental conditions. His most notable work, "Recovering 3D-Shape from Motion Stereo under Non-Uniform Illumination - A Vision System for Mobile Robot Carrying an Illumination Source," addresses the critical problem of reconstructing three-dimensional structures from moving cameras in poorly lit or unevenly illuminated settings. This contribution is particularly significant for autonomous mobile robots that must navigate and perceive their surroundings while carrying their own light source, a scenario common in industrial inspection, search-and-rescue, and space exploration. Although his citation count is modest, with his key paper accruing two citations, Kudou’s work represents an early and thoughtful integration of illumination control with stereo vision, laying groundwork for later advances in active vision systems. His research underscores the importance of robust perception in non-ideal conditions, a theme that continues to resonate in modern robotics and augmented reality.
Research Focus
Key Achievements
Top Papers
- 1