Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization

0338804 - ÚTIA 2010 RIV GB eng J - Journal Article
Havran, V. - Filip, Jiří - Myszkowski, K.
Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization.
Computer Graphics Forum. Roč. 29, č. 1 (2010), s. 175-190. ISSN 0167-7055. E-ISSN 1467-8659
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593
Grant - others:EC Marie Curie ERG(CZ) 239294
Institutional research plan: CEZ:AV0Z10750506
Keywords : bidirectional texture function * BRDF * compression * SSIM
Subject RIV: BD - Theory of Information
Impact factor: 1.455, year: 2010
http://library.utia.cas.cz/separaty/2010/RO/filip-0338804.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0182481