Počet záznamů: 1

Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization

  1. 1.
    0338804 - UTIA-B 2010 RIV GB eng J - Článek v odborném periodiku
    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
    Grant CEP: GA MŠk 1M0572; GA ČR GA102/08/0593
    Grant ostatní:EC Marie Curie ERG(CZ) 239294
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: bidirectional texture function * BRDF * compression * SSIM
    Kód oboru RIV: BD - Teorie informace
    Impakt faktor: 1.455, rok: 2010
    http://library.utia.cas.cz/separaty/2010/RO/filip-0338804.pdf 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.
    Trvalý link: http://hdl.handle.net/11104/0182481