0338804 20240111140735.120100219235959.9 000274388400014 76649102145 10.1111/j.1467-8659.2009.01585.x 15 s. www cav_un_epca*02525490167-7055291 (2010)175-190Wiley bidirectional texture function BRDF compression SSIM cav_un_auth*0257389 Havran V. CZ cav_un_auth*0101086 Filip Jiří Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0257390 Myszkowski K. DE pdf http://library.utia.cas.cz/separaty/2010/RO/filip-0338804.pdf 1M0572 GA MŠk cav_un_auth*0001814 239294 EC Marie Curie ERG CZ cav_un_auth*0301476 GA102/08/0593 GA ČR cav_un_auth*0239567 CEZ:AV0Z10750506 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. 2010 BD 4 A 4a 20231122133926.4 http://hdl.handle.net/11104/0182481 COMPUTERSCIENCESOFTWAREENGINEERING 1.729 0.157 4.6 0.01348 1.009 2055 242 0.814 Q1 87.704 75.253 Q1 Q1 2010 Soubory v repozitáři: filip-0338804.pdf 76649102145 SCOPUS 000274388400014 WOS pdf cav_un_epca*0252549 Computer Graphics Forum 0167-7055 1467-8659 Roč. 29 č. 1 2010 175 190 Wiley