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Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization
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SYSNO ASEP 0338804 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization Author(s) Havran, V. (CZ)
Filip, Jiří (UTIA-B) RID, ORCID
Myszkowski, K. (DE)Source Title Computer Graphics Forum. - : Wiley - ISSN 0167-7055
Roč. 29, č. 1 (2010), s. 175-190Number of pages 15 s. Publication form www - www Language eng - English Country GB - United Kingdom Keywords bidirectional texture function ; BRDF ; compression ; SSIM Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000274388400014 EID SCOPUS 76649102145 DOI 10.1111/j.1467-8659.2009.01585.x Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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