Giljoo Nam

I am an electrical engineer and a PhD student at Visual Computing Lab, KAIST, under the supervision of Prof. Min H. Kim.

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].


High-Quality Hyperspectral Reconstruction Using a Spectral Prior

Inchang Choi, Daniel S. Jeon, Giljoo Nam, Diego Gutierrez, Min H. Kim

ACM Transactions on Graphics, (to be presented at ACM SIGGRAPH Asia 2017)

[PDF (34.2MB) ] [Suppl. (270MB)] [Project page] [Video]

Simultaneous Acquisition of Microscale Reflectance and Normals

Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez, Min H. Kim

ACM Transactions on Graphics, Vol.35(6) (ACM SIGGRAPH Asia 2016)

[PDF (17.8MB)] [Suppl. #1 (0.4KB)] [Suppl. #2 (47MB)] [Project page] [Video]

*US Patent App., published in Feb. 8, 2017.

Measuring Color Defects in Flat Panel Displays using HDR Imaging and Appearance Modeling

Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim

IEEE Transactions on Instrumentation and Measurement (IEEE TIM), Feb. 2016, 65(2), pp.297–304

[PDF (4.2MB)] [Project page]

Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals

Giljoo Nam, Min H. Kim

IEEE Computer Graphics and Applications (IEEE CG&A), Nov. 2014, 34(6), pp.57–68

[PDF (3.4MB)] [Project page]


3D Imaging for Acquiring Realistic 3D Objects for VR and AR

- The 30th Conference on Computer Animation and Social Agents (CASA 2017)

- May 22, 2017

- Lecturers: Giljoo Nam, Min H. Kim

[Slide #1 (35.3MB)] [Slide #2 (28.0MB)] [Tutorial page]


Developing a Multispectral Photometric Stereo System for Acquiring High-Fidelity Surface Normals

Giljoo Nam

MS Thesis in Computer Science

2014, Korea Advanced Institute of Science and Technology, Daejeon, Korea

[PDF (20.7MB)]


Keywords: Imgae-based 3D modeling, Structured light scanning, Photometric stereo, Geometry refinement, Surface reconstruction, Texture mapping