Conference paper

Filip J., Haindl M.

Texture 2005

Heriot-Watt University & IEEE

2005

7-12

1-904410-13-8

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

BTF texture modelling

Efficient Image-Based Bidirectional Texture Function Model [file]

Recent advances in computer hardware and virtual modelling
allow to respect view and illumination dependencies
of natural surface materials. The corresponding texture
representation in the form of Bidirectional Texture Function
(BTF) enables significant improvements of virtual models
realism at the expense of immense increase of material
sample data space. Thus introduction of some fast compression,
modelling and rendering method for BTF data is
inevitable. In this paper we introduce a generalisation of
our polynomial extension of the Lafortune model computed
for every original BTF measurement pixel allowing seamless
BTF texture enlargement. This nonlinear reflectance
model is further extended using parameters clustering technique
to achieve higher compression ratio. The presented
method offers BTF modelling in excellent visual quality as
was tested on variety of BTF measurements. The method
gives BTF compression ratio 1:200 as well as fast graphics
hardware implementation.