Konferenční příspěvek

Haindl M., Grim J., Pudil P., Kudo M.

Texture 2005

Heriot-Watt University & IEEE

2005

95-100

1-904410-13-8

prof. Ing. Michal Haindl, DrSc. (ÚTIA - Oddělení rozpoznávání obrazů)

texture modelling

A Hybrid BTF Model Based on Gaussian Mixtures [file]

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.