We examine color constancy algorithms based on finite-dimensional linear models of surface reflectance and illumination from a computational point of view. It is shown that, within finite dimensional models, formulation and solution of color constancy are determined by the choice of basis functions, the number of spectral receptors and the spatial constraints. We analyze some algorithms with examples, and limitations of algorithms for applications on real images.