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A psychophysically validated metric for bidirectional texture data reduction
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SYSNO ASEP 0317592 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Ostatní články Název A psychophysically validated metric for bidirectional texture data reduction Překlad názvu Psychofyzicky ověřená metrika pro redukci BTF texturních dat Tvůrce(i) Filip, Jiří (UTIA-B) RID, ORCID
Chantler, M.J. (GB)
Green, P.R. (GB)
Haindl, Michal (UTIA-B) RID, ORCIDZdroj.dok. ACM Transactions on Graphics - ISSN 0730-0301
Roč. 27, č. 5 (2008), s. 138:1-138:11Poč.str. 10 s. Forma vydání www - www Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova Bidirectional Texture Functions ; texture compression Vědní obor RIV BD - Teorie informace CEP 1ET400750407 GA AV ČR - Akademie věd GA102/08/0593 GA ČR - Grantová agentura ČR CEZ AV0Z10750506 - UTIA-B (2005-2011) DOI http://doi.acm.org/10.1145/1457515.1409091 Anotace Bidirectional Texture Functions (BTF) are commonly thought to provide the most realistic perceptual experience of materials from rendered images. The key to providing efficient compression of BTFs is the decision as to how much of the data should be preserved. We use psychophysical experiments to show that this decision depends critically upon the material concerned. Furthermore, we develop a BTF derived metric that enables us to automatically set a material's compression parameters in such a way as to provide users with a predefined perceptual quality. We investigate the correlation of three different BTF metrics with psychophysically derived data. Eight materials were presented to eleven naive observers who were asked to judge the perceived quality of BTF renderings as the amount of preserved data was varied. The metric showing the highest correlation with the thresholds set by the observers was the mean variance of individual BTF images. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2009
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