Estimating parameters of an illumination model for the synthesis of specular surface textures

This paper proposes a method to estimate the parameters of an illumination model and then uses these parameters for the synthesis of specular surface textures. We used the relationship between surface gradient maps in the frequency domain as a constraint for the separation of diffuse and specular components. During the estimation, we always keep errors between the real images and reconstructed images as small as possible. The estimated parameters form sample surface representation maps, which are then, used as inputs for the synthesis of large representation maps. The synthesized representation maps are finally relit using the illumination model to produce new images under arbitrary illumination directions.