Jae‐chan Jeong

Korea University of Science and Technology, Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Jae-chan Jeong is a researcher whose work centers on computer vision and depth reconstruction, with a particular focus on improving the accuracy and reliability of 3D sensing systems for robotics and embedded applications. His key contributions lie in the development of hardware-accelerated depth calculation and the simulation of projected texture stereo systems. Notably, his 2011 paper on "Depth calculation by using face detection ASIC" introduced a specialized integrated circuit approach to enhance real-time depth processing, while his 2012 study on "Simulation method of projected texture stereo for evaluating patterns" addressed a critical weakness in stereo vision—the lack of texture in scenes—by proposing a method to evaluate and optimize projected patterns. Although his citation counts are modest (3 and 2, respectively), these works represent foundational steps in bridging the gap between algorithmic vision and practical, hardware-efficient implementations. Jeong’s research is particularly relevant for students and engineers interested in embedded vision systems, depth sensors like Kinect, and the intersection of pattern projection with stereo matching, offering insights into how simulation can preempt real-world performance issues.