My principal research interests lie in the field of Computer Vision and Graphics at which I capture the real world subjects using specially-designed acquisition setups and novel algorithmic solutions. My current research focuses on developing systems to acquire the full 3D geometry of an object and its hyperspectral material appearance. In addition, I am also interested in Machine Vision, particularly in developing inspection systems based on machine learning and human visual perception. For detailed information, find my CV [here].
Simultaneous Acquisition of Microscale Reflectance and Normals
ACM Transactions on Graphics, Vol.35(6) (ACM SIGGRAPH Asia 2016)
*US Patent App., published in Feb. 8, 2017.
Developing a Multispectral Photometric Stereo System for Acquiring High-Fidelity Surface Normals
MS Thesis in Computer Science
2014, Korea Advanced Institute of Science and Technology, Daejeon, Korea
3D SCANNING PROJECT
Keywords: Imgae-based 3D modeling, Structured light scanning, Photometric stereo, Geometry refinement, Surface reconstruction, Texture mapping