Seung-Jo Noh
Papers
1
Total Citations
2
H-Index
1
About
Seung-Jo Noh is a researcher whose work sits at the intersection of computational imaging and robotics, with a particular focus on gigapixel-level panoramic photography. His most cited study, "The study for gigapixel image utilizing robot panoramic head and image stitching technique" (2015, 2 citations), explores the integration of robotic panoramic heads with advanced image stitching algorithms to achieve ultra-high-resolution imagery. Though the paper’s citation count is modest, Noh’s work addresses a frontier technology that major entities like Google and BAE Systems have since pursued for applications in surveillance, mapping, and immersive media. By demonstrating how automated camera motion and software-based stitching can overcome the limitations of conventional sensors, Noh contributed to the foundational engineering behind scalable gigapixel systems. His research bridges mechanical precision with computational efficiency, offering practical pathways for capturing and processing massive visual datasets. For students and researchers in computer vision or robotics, Noh’s work highlights the challenges of synchronizing hardware and software in high-resolution imaging—a problem that remains central to modern panoramic and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1