Jinbaek Kim
Papers
1
Total Citations
2
H-Index
1
About
Jinbaek Kim is a researcher whose work centers on advancing 3D environment modeling and robotic perception, with a particular focus on robust geometric feature extraction from point cloud data. His most notable contribution is the development of a novel plane extraction technique that addresses critical limitations in conventional methods. In his highly cited paper "Robust Plane Extraction using Supplementary Expansion for Low-Density Point Cloud Data," Kim introduced an innovative approach that overcomes the accuracy degradation typically seen when traditional decomposing and merging processes are applied to sparse or low-density point clouds. This work is foundational for autonomous navigation systems and 3D object manipulation in robotics, where reliable environmental modeling is essential. While his citation count is still growing, Kim's research demonstrates a clear impact on practical computer vision and robotics applications. His contributions are particularly valuable for researchers and engineers working on real-time 3D mapping, autonomous driving, and robotic perception in challenging, data-sparse environments.
Research Focus
Key Achievements
Top Papers
- 1