Accurate mapping of natural scenes radiance to cone activation space: a new image dataset

@InProceedings\{PBV2010a,
  author       = "C. Alejandro Parraga and Ramon Baldrich and Maria Vanrell",
  title        = "Accurate mapping of natural scenes radiance to cone activation space: a new image dataset",
  booktitle    = "5th European Conference on Colour in Graphics, Imaging, and Vision - Proceedings of the CGIV 2010",
  pages        = "50-57",
  year         = "2010",
  organization = "Imaging Science and Technology",
  note         = "ISBN: 978-0-89208-291-9",
  abstract     = "The characterization of trichromatic cameras is usually done in terms of a device-independent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor\´s (RGB) responses to human (LMS) through a polynomial transformation, which can be "customized" according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results.",
  url          = "http://cat.cvc.uab.es/Public/Publications/2010/PBV2010a"
}