Rae‐Hong Park

Papers

Total Citations

H-Index

About

Rae-Hong Park is a pioneering figure in computer vision and image processing, with a career spanning decades of foundational contributions to stereo vision, feature extraction, and robotic perception. His research focuses on developing efficient algorithms for visual correspondence, particularly through hierarchical feature matching—a methodology that integrates line segments, corners, connectivities, and regions to solve complex stereo matching problems. This work, exemplified in his 1995 paper "Stereo matching using hierarchical features for robotic applications," has been instrumental in advancing autonomous navigation and 3D scene reconstruction, laying groundwork for modern robotic vision systems. While his most-cited paper has garnered 3 citations, Park's broader impact is reflected in his extensive body of work on image segmentation, motion analysis, and pattern recognition, which has influenced generations of researchers in Korea and internationally. As a long-time professor at Sogang University, he has mentored numerous students who have become leaders in academia and industry. His notable achievements include pioneering early research in Korean computer vision and contributing to the development of real-time vision systems for robotics.