Seung‐Min Choi

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Seung-Min Choi’s research focuses on advancing depth perception and 3D reconstruction for robotic and computer vision applications, with a particular emphasis on overcoming the limitations of traditional stereo vision systems. His major contributions lie in developing methods to enhance depth calculation accuracy in low-texture environments, a critical challenge for autonomous robots and interactive systems. Notably, his work on "Depth calculation by using face detection ASIC" (2011) pioneered the integration of dedicated hardware for real-time depth sensing, while his "Simulation method of projected texture stereo for evaluating patterns" (2012) provided a systematic framework for designing and testing projected light patterns—a technique used in systems like the Kinect—to improve depth reconstruction in textureless scenes. Although his citation counts (3 and 2, respectively) reflect a niche but focused impact, his research addresses a fundamental bottleneck in robot vision: enabling reliable depth mapping where passive stereo fails. Choi’s work is particularly valuable for students and engineers seeking practical solutions for active stereo systems, as his simulation approach reduces the trial-and-error in pattern design, accelerating development cycles for robotics and augmented reality applications.