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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00346560%21RIV11-MSM-67985556
rdf:type
n16:Vysledek skos:Concept
dcterms:description
A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural features based on fast Markovian statistics, which are simultaneously invariant to illumination colour and robust to illumination direction. No knowledge of illumination conditions is required and a recognition is possible from a single training image per material. Material recognition is tested on the currently most realistic visual representation - Bidirectional Texture Function (BTF), using the Amsterdam Library of Textures (ALOT), which contains 250 natural materials acquired in different illumination conditions. Our proposed features significantly outperform several leading alternatives including Local Binary Patterns (LBP, LBP-HF) and Gabor features. A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural features based on fast Markovian statistics, which are simultaneously invariant to illumination colour and robust to illumination direction. No knowledge of illumination conditions is required and a recognition is possible from a single training image per material. Material recognition is tested on the currently most realistic visual representation - Bidirectional Texture Function (BTF), using the Amsterdam Library of Textures (ALOT), which contains 250 natural materials acquired in different illumination conditions. Our proposed features significantly outperform several leading alternatives including Local Binary Patterns (LBP, LBP-HF) and Gabor features.
dcterms:title
Natural Material Recognition with Illumination Invariant Textural Features Natural Material Recognition with Illumination Invariant Textural Features
skos:prefLabel
Natural Material Recognition with Illumination Invariant Textural Features Natural Material Recognition with Illumination Invariant Textural Features
skos:notation
RIV/67985556:_____/10:00346560!RIV11-MSM-67985556
n3:aktivita
n7:P n7:Z
n3:aktivity
P(1M0572), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n9:2011
n3:domaciTvurceVysledku
n5:1555170 n5:2890542
n3:druhVysledku
n21:D
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
273866
n3:idVysledku
RIV/67985556:_____/10:00346560
n3:jazykVysledku
n18:eng
n3:klicovaSlova
texture; colour; Markov random field; illumination invariance
n3:klicoveSlovo
n14:Markov%20random%20field n14:colour n14:texture n14:illumination%20invariance
n3:kontrolniKodProRIV
[1B4A09D24E78]
n3:mistoKonaniAkce
Istanbul
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
20th International Conference on Pattern Recognition
n3:obor
n17:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n6:1M0572 n6:GA102%2F08%2F0593
n3:rokUplatneniVysledku
n9:2010
n3:tvurceVysledku
Haindl, Michal Vácha, Pavel
n3:typAkce
n8:WRD
n3:zahajeniAkce
2010-08-23+02:00
n3:zamer
n4:AV0Z10750506
s:numberOfPages
4
n19:hasPublisher
IEEE Computer Society CPS
n20:isbn
978-1-4244-7542-1