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Giljoo Nam

PhD Student

[e-mail]
[phone] +82-42-350-7864
[site] https://sites.google.com/view/gjnam

Giljoo Nam (남길주) is a PhD student in the Visual Computing Lab, KAIST. He received his master degree in computer science from KAIST in 2014. Prior to KAIST, he received a bachelor degree in electronic engineering from Korea University in 2012. His research focuses on acquiring material appearance and hyperspectral photometric stereo imaging.

 

Research Interests: Computer Vision and Graphics

 

  • Aquisition of material appearance (SVBRDFs)
  • High-performance photometric stereo
  • Hyperspectral imaging

 

   

Representative Publications

 

  • Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez, Min H. Kim (2016), "Simultaneous Acquisition of Microscale Reflectance and Normals," ACM Transactions on Graphics (ACM TOG), 35(6), Dec. 5, 2016, to be presented at SIGGRAPH Asia 2016.

  • Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim (2016), "Measuring Color Defects in Flat Panel Dis- plays using HDR Imaging and Appearance Modeling," IEEE Transactions on Instrumentation and Measurement (TIM), February 2016, 65(2), pp. 297--304.

  • Giljoo Nam, Min H. Kim (2014), "Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals," IEEE Computer Graphics and Applications, October 2014, 34(6), pp. 57--68.

 

   

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