Článek v odborném periodiku

Havran V., Filip J., Myszkowski K.

Computer Graphics Forum

2010

1 (2010)

175-190

0167-7055

Ing. Jiří Filip, Ph.D. (ÚTIA - Oddělení rozpoznávání obrazů)

bidirectional texture function, BRDF, compression, SSIM

The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of real-world material appearance. In this paper a novel BTF compression model is proposed. The model resamples input BTF data into a parametrization, allowing decomposition of individual view and illumination dependent texels into a set of multi-dimensional conditional probability density functions. These functions are compressed in turn using a novel multi-level vector quantization algorithm. The result of this algorithm is a set of index and scale code-books for individual dimensions. BTF reconstruction from the model is then based on fast chained indexing into the nested stored code-books. In the proposed model, luminance and chromaticity are treated separately to achieve further compression. The proposed model achieves low distortion and compression ratios 1:233–1:2040, depending on BTF sample variability.