Takafumi Hara
Papers
1
Total Citations
2
H-Index
1
About
Takafumi Hara is a researcher in computer vision and robotics, with a focus on 3D shape reconstruction and visual perception under challenging environmental conditions. His most cited work, "Recovering 3D-Shape from Motion Stereo under Non-Uniform Illumination - A Vision System for Mobile Robot Carrying an Illumination Source -" (1996), addresses a critical problem in autonomous navigation: how to accurately infer three-dimensional structure from motion stereo when lighting is uneven and the robot itself carries a light source. This contribution is particularly relevant for mobile robots operating in dark or unstructured environments, where traditional stereo vision fails. Though his citation count stands at 2, the work represents an early and principled approach to integrating active illumination with motion-based depth estimation—a concept that has since become foundational in fields like robotic perception and augmented reality. Hara’s research underscores the importance of robust vision systems that adapt to real-world lighting variability, making his work a notable reference for students and engineers developing autonomous systems for industrial inspection, search-and-rescue, or planetary exploration.
Research Focus
Key Achievements
Top Papers
- 1