Intrinsic decomposition from a single spectral image.

@article{Chen2017IntrinsicDF,
  title={Intrinsic decomposition from a single spectral image.},
  author={Xi Chen and Weixin Zhu and Yang Zhao and Yao Jun Yu and Yu Zhou and Tao Yue and Sidan Du and Xun Cao},
  journal={Applied optics},
  year={2017},
  volume={56 20},
  pages={
          5676-5684
        }
}
In this paper, we present a spectral intrinsic image decomposition (SIID) model, which is dedicated to resolve a natural scene into its purely independent intrinsic components: illumination, shading, and reflectance. By introducing spectral information, our work can solve many challenging cases, such as scenes with metameric effects, which are hard to tackle for trichromatic intrinsic image decomposition (IID), and thus offers potential benefits to many higher-level vision tasks, e.g… CONTINUE READING
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