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Publikace

Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization - Supplemental Material

Typ:
Výzkumná zpráva
Autoři publikace:
Havran V., Filip J., Myszkowski K.
Název edice:
Research Report
Číslo zprávy:
2265
Nakladatel:
ÚTIA AV ČR, v.v.i
Místo vydání:
Praha
Rok:
2009
Klíčová slova:
texture, compression, BTF, vector quantization
Anotace:
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 multidimensional 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.
 
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