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International Conference on Computer Vision (ICCV) 2021

 
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
 
  Seung-Hwan Baek†* Hayato Ikoma§ Daniel S. Jeon  
  Yuqi Li Wolfgang Heidrich Gordon Wetzstein§   Min H. Kim  
           
  KAIST § Stanford University KAUST * Princeton University  
 


  KAIST Dataset of hyperspectral depth data
This is the supplemental material for the ICCV 2021 Paper.
More information:
- Paper: http://vclab.kaist.ac.kr/iccv2021/

Please cite our paper if you use any of the free materials in this website.
  
@InProceedings{HyperspectralDepthDOE:ICCV:2021,
  author    = {Seung-Hwan Baek and Hayato Ikoma and Daniel S. Jeon and
               Yuqi Li and Wolfgang Heidrich and Gordon Wetzstein and Min H. Kim},
  title     = {Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics},
  booktitle = {Proc. IEEE International Conference on Computer Vision (ICCV)},
  month     = {October},
  year      = {2021}
  }           

Capture setup
- Camera: FLIR Grasshopper 12MP Monochromatic (GS3-U3-120S6M-C)
- Lens: SIGMA art A 50mm F1.4 DG HSM
- Filters: Liquid Crystal Tunable Filters (VariSpec VIS 400-720)
- Light Source: Xenon Illumination (Thorlab HPLS-30-4)

Hyperspectral depth dataset (click to download)
 

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  How to read the files
An example MATLAB code for reading a hyperspectral EXR file:
(refer to our GitHub repository, 'openexr-matlab', for 'exrreadchannels')
codes:
example.m
exrreadchannels.m
exrreadchannels.mexmaci64
exrreadchannels.mexw64
 

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