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CGF
2010

Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization

8 years 10 months ago
Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization
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
Vlastimil Havran, J. Filip, Karol Myszkowski
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where CGF
Authors Vlastimil Havran, J. Filip, Karol Myszkowski
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