. "Chantler, M. J." . "354420" . "A psychophysically validated metric for bidirectional texture data reduction"@en . . . . . "Green, P. R." . "A psychophysically validated metric for bidirectional texture data reduction" . "A psychophysically validated metric for bidirectional texture data reduction" . . . "5" . "27" . "10"^^ . "Dvousm\u011Brn\u00E9 texturn\u00ED funkce (BTF) se obecn\u011B pova\u017Euj\u00ED za reprezentaci, kter\u00E1 poskytuje nejrealisti\u010Dt\u011Bj\u0161\u00ED smyslov\u00E9 vn\u00EDm\u00E1n\u00ED materi\u00E1l\u016F na vizualizovan\u00FDch obrazech. Kl\u00ED\u010Dem pro efektivn\u00ED kompresi BTF je rozhodnut\u00ED, jak\u00E9 mno\u017Estv\u00ED dat m\u00E1 b\u00FDt zachov\u00E1no. Psychofyzick\u00FDmi testy jsme uk\u00E1zali, \u017Ee toto rozhodnut\u00ED kriticky z\u00E1le\u017E\u00ED na konkr\u00E9tn\u00EDm materi\u00E1lu. Vyvinuli jsme BTF metriku, kter\u00E1 umo\u017E\u0148uje automatick\u00E9 ur\u010Den\u00ED kompresn\u00EDch parametr\u016F materi\u00E1lu tak, aby odpov\u00EDdaly po\u017Eadovan\u00E9 smyslov\u00E9 kvalit\u011B. Ov\u011B\u0159ili jsme korelaci t\u0159\u00ED r\u016Fzn\u00FDch BTF metrik s psychofyzicky odvozen\u00FDmi daty. Osm materi\u00E1l\u016F bylo p\u0159edlo\u017Eeno jeden\u00E1cti nepou\u010Den\u00FDm pozorovatel\u016Fm, kte\u0159\u00ED posuzovali vn\u00EDmanou kvalitu BTF zobrazen\u00ED p\u0159i prom\u011Bnn\u00E9 mno\u017Estv\u00ED zachovan\u00FDch dat. Metrikou, kter\u00E1 nejl\u00E9pe korelovala s prahy pozorovatel\u016F byl st\u0159edn\u00ED rozptyl jednotliv\u00FDch BTF obraz\u016F. Tato metrika byla vyu\u017Eita pro automatick\u00E9 ur\u010Den\u00ED materi\u00E1lov\u011B z\u00E1visl\u00FDch kompresn\u00EDch parametr\u016F ve vektorov\u00E9 kvantiza\u010Dn\u00ED metod\u011B."@cs . . "A psychophysically validated metric for bidirectional texture data reduction"@en . "Haindl, Michal" . "Psychofyzicky ov\u011B\u0159en\u00E1 metrika pro redukci BTF texturn\u00EDch dat"@cs . "4"^^ . . "Bidirectional Texture Functions; texture compression"@en . "Psychofyzicky ov\u011B\u0159en\u00E1 metrika pro redukci BTF texturn\u00EDch dat"@cs . "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." . "2"^^ . . "RIV/67985556:_____/08:00317592!RIV09-GA0-67985556" . "ACM Transactions on Graphics" . . . "[59FAB82900E0]" . . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . "0730-0301" . "RIV/67985556:_____/08:00317592" . . "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."@en . . . "P(1ET400750407), P(GA102/08/0593), Z(AV0Z10750506)" . . . "Filip, Ji\u0159\u00ED" .