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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F09%3A00329827%21RIV10-MSM-67985556
rdf:type
skos:Concept n17:Vysledek
dcterms:description
An ever-growing number of real world computer vision applications require classification, segmentation, retrieval, or realistic rendering of genuine materials. However, the appearance of real materials dramatically changes with illumination and viewing variations. Thus, the only reliable representation of material visual properties requires capturing of its reflectance in as wide range of light and camera position combinations as possible. This is a principle of the recent most advanced texture representation, the Bidirectional Texture Function (BTF). Multispectral BTF is a seven-dimensional function that depends on view and illumination directions as well as on planar texture coordinates. BTF is typically obtained by measurement of thousands of images covering many combinations of illumination and viewing angles. However, the large size of such measurements has prohibited their practical exploitation in any sensible application until recently. An ever-growing number of real world computer vision applications require classification, segmentation, retrieval, or realistic rendering of genuine materials. However, the appearance of real materials dramatically changes with illumination and viewing variations. Thus, the only reliable representation of material visual properties requires capturing of its reflectance in as wide range of light and camera position combinations as possible. This is a principle of the recent most advanced texture representation, the Bidirectional Texture Function (BTF). Multispectral BTF is a seven-dimensional function that depends on view and illumination directions as well as on planar texture coordinates. BTF is typically obtained by measurement of thousands of images covering many combinations of illumination and viewing angles. However, the large size of such measurements has prohibited their practical exploitation in any sensible application until recently.
dcterms:title
Bidirectional Texture Function Modeling: State of the Art Survey Bidirectional Texture Function Modeling: State of the Art Survey
skos:prefLabel
Bidirectional Texture Function Modeling: State of the Art Survey Bidirectional Texture Function Modeling: State of the Art Survey
skos:notation
RIV/67985556:_____/09:00329827!RIV10-MSM-67985556
n3:aktivita
n16:P n16:Z
n3:aktivity
P(1ET400750407), P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
n3:cisloPeriodika
11
n3:dodaniDat
n7:2010
n3:domaciTvurceVysledku
n8:2007673 n8:2890542
n3:druhVysledku
n13:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
305044
n3:idVysledku
RIV/67985556:_____/09:00329827
n3:jazykVysledku
n14:eng
n3:klicovaSlova
BTF; surface texture; 3D texture
n3:klicoveSlovo
n11:surface%20texture n11:3D%20texture n11:BTF
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[698893567F61]
n3:nazevZdroje
IEEE Transactions on Pattern Analysis and Machine Intelligence
n3:obor
n12:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GA102%2F08%2F0593 n4:1M0572 n4:1ET400750407 n4:2C06019
n3:rokUplatneniVysledku
n7:2009
n3:svazekPeriodika
31
n3:tvurceVysledku
Haindl, Michal Filip, Jiří
n3:wos
000269767600001
n3:zamer
n15:AV0Z10750506
s:issn
0162-8828
s:numberOfPages
20