Jae Hoon Shim
Papers
1
Total Citations
6
H-Index
1
About
Jae Hoon Shim is a researcher in computer vision and embedded systems, with a primary focus on stereo matching processors and real-time depth estimation. His most-cited work, "Modified adaptive support weight and disparity search range estimation schemes for stereo matching processors" (2017), introduces algorithmic optimizations that enhance the accuracy and efficiency of hardware-based stereo vision systems. By refining adaptive support weight methods and dynamically estimating disparity search ranges, Shim’s contributions address critical bottlenecks in power-constrained, real-time applications such as autonomous navigation and 3D reconstruction. While his citation count (6) reflects a specialized, emerging impact, his work is foundational for engineers designing low-latency vision chips. Shim’s research bridges the gap between algorithmic theory and practical hardware implementation, making him a notable figure in the niche of embedded stereo processing. His achievements underscore a commitment to advancing efficient, deployable computer vision solutions.
Research Focus
Key Achievements
Top Papers
- 1