Daehwan Hwang

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Daehwan Hwang is a researcher in computer vision and image processing, with a particular focus on stereo matching and disparity estimation. His most-cited work, "A Novel Stereo Matching Method for Wide Disparity Range Detection" (2005), introduced an innovative approach to handling large depth variations in stereo vision systems—a critical challenge for applications like autonomous navigation and 3D reconstruction. By addressing the limitations of traditional stereo algorithms in detecting wide disparity ranges, Hwang’s method improved accuracy and robustness in complex scenes, laying groundwork for more adaptive vision systems. Although his citation count (16 for this paper) reflects a niche but impactful contribution, his work has been referenced in subsequent studies on real-time stereo processing and depth sensing. Hwang’s research underscores the importance of algorithmic efficiency in expanding the practical reach of computer vision, making his contributions valuable for students and engineers developing next-generation imaging technologies.