[Color Checker Set] [Grey ball Set] [SFU 321 Set]
Variables: all_image_names: {1xN cell} : Base names of images groundtruth_illuminants: [Nx3 double] : Ground truth illuminant for each image estimated_illuminants_ML: [Nx3 double] : ML Estimate of illuminant with proposed method angular_errors_ML: [Nx1 double] : Corresponding Angular Errors Only for Color Checker database: estimated_illuminants_GenPrior: [Nx3 double] : Illuminant estimate with prior over all images in training set angular_errors_GenPrior: [Nx1 double] : Corresponding Angular Errors estimated_illuminants_CategPrior: [Nx3 double] : Illuminant estimate with separate priors for indoor/outdoor angular_errors_CategPrior: [Nx1 double] : Corresponding Angular Errors isindoor: [Nx1 logical]: Label per image, 0 - outdoor, 1 - indoor
Collected by Gehler et al., we use the linear re-processed version from Shi and Funt. Results on other algorithms based on data from Gijsenij et al..