Shohei Noguchi
Papers
2
Total Citations
29
H-Index
2
About
Shohei Noguchi is a researcher specializing in high-speed vision and 3D sensing technologies, with a focus on real-time image processing that operates at frame rates exceeding standard video (30 Hz). His major contribution lies in developing a novel approach to high-speed 3D sensing using three-view geometry and segmented patterns, enabling simultaneous image capture, recording, and processing for dynamic environments. This work, detailed in his most-cited paper from 2015 (23 citations), addresses critical needs in robotics and human-machine interaction, where rapid, accurate depth perception is essential. Noguchi’s method enhances the robustness and speed of 3D reconstruction, offering a practical solution for applications requiring instantaneous feedback. His research has garnered attention for bridging the gap between high-speed vision theory and real-world implementation, with subsequent refinements in 2016 (6 citations) further validating the approach. By advancing the capabilities of high-frame-rate vision systems, Noguchi has contributed to foundational technologies that empower autonomous systems and interactive devices to perceive and respond to their surroundings with unprecedented speed and precision.
Research Focus
Key Achievements
Top Papers
- 1High-speed 3D sensing with three-view geometry using a segmented pattern23 citations · 2015
- 2High-speed 3D Sensing with Three-view Geometry Using a Segmented Pattern6 citations · 2016