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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F09%3A00331794%21RIV10-MSM-67985556
rdf:type
n6:Vysledek skos:Concept
dcterms:description
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and textural features are derived from fast analytical estimates of Markovian statistics. We do not require any knowledge of illumination direction or spectrum. This makes our method suitable for computer analysis of real scenes, where appearance of materials depends on their orientation towards the illumination source. Our method is tested on the most realistic visual representation of natural materials - the bidirectional texture function (BTF), using data from the CUReT database, where it outperforms the alternative leading illumination invariant Local Binary Patterns (LBP) and texton MR8 methods, respectively. We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and textural features are derived from fast analytical estimates of Markovian statistics. We do not require any knowledge of illumination direction or spectrum. This makes our method suitable for computer analysis of real scenes, where appearance of materials depends on their orientation towards the illumination source. Our method is tested on the most realistic visual representation of natural materials - the bidirectional texture function (BTF), using data from the CUReT database, where it outperforms the alternative leading illumination invariant Local Binary Patterns (LBP) and texton MR8 methods, respectively.
dcterms:title
Illumination Invariant and Rotational Insensitive Textural Representation Illumination Invariant and Rotational Insensitive Textural Representation
skos:prefLabel
Illumination Invariant and Rotational Insensitive Textural Representation Illumination Invariant and Rotational Insensitive Textural Representation
skos:notation
RIV/67985556:_____/09:00331794!RIV10-MSM-67985556
n3:aktivita
n11:Z n11:P
n3:aktivity
P(1M0572), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n10:2010
n3:domaciTvurceVysledku
n14:2890542 n14:1555170
n3:druhVysledku
n17:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
318504
n3:idVysledku
RIV/67985556:_____/09:00331794
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Illumination Invariants,; Rotational Invariant; BTF texture; image retrieval
n3:klicoveSlovo
n7:Rotational%20Invariant n7:BTF%20texture n7:image%20retrieval n7:Illumination%20Invariants
n3:kontrolniKodProRIV
[F2FB7110FA16]
n3:mistoKonaniAkce
Cairo
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
Proceedings of the 16th International Conference on Image Processing, ICIP 2009
n3:obor
n13:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n16:GA102%2F08%2F0593 n16:1M0572
n3:rokUplatneniVysledku
n10:2009
n3:tvurceVysledku
Haindl, Michal Vácha, Pavel
n3:typAkce
n20:WRD
n3:zahajeniAkce
2009-11-07+01:00
n3:zamer
n19:AV0Z10750506
s:numberOfPages
4
n15:hasPublisher
IEEE
n4:isbn
978-1-4244-5655-0