Color Homography Color Correction. Finlayson, G. D., Gong, H., & Fisher, R. B. In Color Imaging Conference (Society for Imaging Science & Technology), USA, 2016.
Color Homography Color Correction [link]Paper  abstract   bibtex   
Homographies – a mathematical formalism for relating image points across different camera viewpoints – are at the foundations of geometric methods in computer vision and are used in geometric camera calibration, image registration, and stereo vision and other tasks. In this paper, we show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are also related by a homography. We propose a new color correction method based on color homography. Experiments demonstrate that solving the color homography problem leads to more accurate calibration.
@inproceedings{uea60479,
       booktitle = {Color Imaging Conference (Society for Imaging Science \& Technology)},
           title = {Color Homography Color Correction},
          author = {Graham D. Finlayson and Han Gong and Robert B. Fisher},
         address = {USA},
            year = {2016},
         journal = {Color Imaging Conference (Society for Imaging Science \& Technology)},
             url = {https://ueaeprints.uea.ac.uk/id/eprint/60479/},
        abstract = {Homographies -- a mathematical formalism for relating image points across different camera viewpoints -- are at the foundations of geometric methods in computer vision and are used in geometric camera calibration, image registration, and stereo vision and other tasks. In this paper, we show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are also related by a homography. We propose a new color correction method based on color homography. Experiments demonstrate that solving the color homography problem leads to more accurate calibration.}
}
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