A Hybrid BTF Model Based on Gaussian Mixtures

A generalization of our Gaussian distribution mixtures based method to Bidirectional Texture Function (BTF) modelling is discussed. We estimate the local statistical properties of the monospectral version of the fixed view target BTF texture in the form of a Gaussian mixture of product components. The synthesized texture is obtained by means of a step-wise prediction of the whole fixed view BTF texture subspace. In order to achieve an authentic BTF texture and to avoid possible loss of high-frequency spatial details we use optimally chosen pieces of the original BTF measurements in the synthesis phase. In this sense the proposed BTF texture modelling method can be viewed as a statistically controlled sampling. 1