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A psychophysically validated metric for bidirectional texture data reduction

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    SYSNO ASEP0317592
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleA psychophysically validated metric for bidirectional texture data reduction
    TitlePsychofyzicky ověřená metrika pro redukci BTF texturních dat
    Author(s) Filip, Jiří (UTIA-B) RID, ORCID
    Chantler, M.J. (GB)
    Green, P.R. (GB)
    Haindl, Michal (UTIA-B) RID, ORCID
    Source TitleACM Transactions on Graphics - ISSN 0730-0301
    Roč. 27, č. 5 (2008), s. 138:1-138:11
    Number of pages10 s.
    Publication formwww - www
    Languageeng - English
    CountryUS - United States
    KeywordsBidirectional Texture Functions ; texture compression
    Subject RIVBD - Theory of Information
    R&D Projects1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    GA102/08/0593 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    DOIhttp://doi.acm.org/10.1145/1457515.1409091
    AnnotationBidirectional 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2009
Number of the records: 1  

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