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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00346561%21RIV11-MSM-67985556
rdf:type
skos:Concept n12:Vysledek
dcterms:description
Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction.
dcterms:title
Gaze-Motivated Compression of Illumination and View Dependent Textures Gaze-Motivated Compression of Illumination and View Dependent Textures
skos:prefLabel
Gaze-Motivated Compression of Illumination and View Dependent Textures Gaze-Motivated Compression of Illumination and View Dependent Textures
skos:notation
RIV/67985556:_____/10:00346561!RIV11-MSM-67985556
n4:aktivita
n6:Z n6:P
n4:aktivity
P(1M0572), P(GA102/08/0593), Z(AV0Z10750506)
n4:dodaniDat
n5:2011
n4:domaciTvurceVysledku
n10:2007673 n10:2890542
n4:druhVysledku
n18:D
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
260260
n4:idVysledku
RIV/67985556:_____/10:00346561
n4:jazykVysledku
n15:eng
n4:klicovaSlova
BTF; compression; eye-tracking; visual psychophysics
n4:klicoveSlovo
n11:compression n11:BTF n11:visual%20psychophysics n11:eye-tracking
n4:kontrolniKodProRIV
[4E28069DDFAF]
n4:mistoKonaniAkce
Istanbul
n4:mistoVydani
Los Alamitos
n4:nazevZdroje
20th International Conference on Pattern Recognition
n4:obor
n14:BD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n13:1M0572 n13:GA102%2F08%2F0593
n4:rokUplatneniVysledku
n5:2010
n4:tvurceVysledku
Chantler, M. J. Filip, Jiří Haindl, Michal
n4:typAkce
n20:WRD
n4:zahajeniAkce
2010-08-23+02:00
n4:zamer
n19:AV0Z10750506
s:numberOfPages
4
n16:hasPublisher
IEEE Computer Society CPS
n17:isbn
978-1-4244-7542-1