Inkyu Moon

About

Inkyu Moon is a leading researcher in the fields of three-dimensional (3D) optical imaging, computer vision, and advanced sensing technologies. His most significant contribution is his pioneering work on 3D optical sensing and visualization using integral imaging, a technique that captures and reconstructs full-color, full-parallax 3D scenes. His seminal 2010 paper on this topic has garnered 149 citations, underscoring its foundational impact on applications ranging from medical sciences and robotics to defense and entertainment. Moon has also made notable advances in depth estimation and object tracking, particularly through the innovative use of the Kinect sensor. He developed improved feature-matching techniques, such as enhanced scale-invariant feature transform (SIFT) algorithms integrated with neural networks, to achieve robust object tracking in video sequences. His work bridges the gap between computational imaging and practical computer vision, enabling more accurate depth perception and real-time tracking for robotics and surveillance. With a career focused on pushing the boundaries of how machines see and interpret the 3D world, Moon’s research continues to influence both academic inquiry and real-world technological applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Three-Dimensional Optical Sensing and Visualization Using Integral Imaging

   149 citations · 2010
2. 2
   Depth estimation of features in video frames with improved feature matching technique using Kinect sensor

   9 citations · 2012
3. 3
   Improved scale-invariant feature transform feature-matching technique-based object tracking in video sequences via a neural network and Kinect sensor

   8 citations · 2013

Key Collaborators

Contact & Links