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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F11%3A00369913%21RIV12-AV0-67985556
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Multidimensional visual texture is the appropriate paradigm for physically correct material visual properties representation. The course will present recent advances in texture modelling methodology as applied in computer vision, pattern recognition, computer graphics, and virtual/augmented reality applications. Contrary to previous courses on material appearance, we will focus on materials whose nature allows the exploitation of texture modeling approaches. This topic is introduced in the wider and complete context of pattern recognition and image rocessing. It comprehends modeling of multi-spectral images and videos which can be accomplished either with multi-dimensional mathematical models or sophisticated sampling methods from the original measurements. The key aspects of the topic, i.e., different multi-dimensional data models with their corresponding benefits and drawbacks, optimal model selection, parameter estimation and model synthesis techniques, are discussed. Multidimensional visual texture is the appropriate paradigm for physically correct material visual properties representation. The course will present recent advances in texture modelling methodology as applied in computer vision, pattern recognition, computer graphics, and virtual/augmented reality applications. Contrary to previous courses on material appearance, we will focus on materials whose nature allows the exploitation of texture modeling approaches. This topic is introduced in the wider and complete context of pattern recognition and image rocessing. It comprehends modeling of multi-spectral images and videos which can be accomplished either with multi-dimensional mathematical models or sophisticated sampling methods from the original measurements. The key aspects of the topic, i.e., different multi-dimensional data models with their corresponding benefits and drawbacks, optimal model selection, parameter estimation and model synthesis techniques, are discussed.
dcterms:title
Advanced textural representation of materials appearance Advanced textural representation of materials appearance
skos:prefLabel
Advanced textural representation of materials appearance Advanced textural representation of materials appearance
skos:notation
RIV/67985556:_____/11:00369913!RIV12-AV0-67985556
n6:predkladatel
n9:ico%3A67985556
n3:aktivita
n12:Z n12:P
n3:aktivity
P(GA102/08/0593), P(GAP103/11/0335), Z(AV0Z10750506)
n3:dodaniDat
n19:2012
n3:domaciTvurceVysledku
n20:2890542 n20:2007673
n3:druhVysledku
n4:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
184754
n3:idVysledku
RIV/67985556:_____/11:00369913
n3:jazykVysledku
n21:eng
n3:klicovaSlova
visual texture; Bidirectional Texture Function; materials appearance
n3:klicoveSlovo
n17:materials%20appearance n17:Bidirectional%20Texture%20Function n17:visual%20texture
n3:kontrolniKodProRIV
[2FA7F93488C8]
n3:mistoKonaniAkce
Hong Kong
n3:mistoVydani
New York
n3:nazevZdroje
Proceedings of SA '11 SIGGRAPH Asia 2011 Courses
n3:obor
n18:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n10:GA102%2F08%2F0593 n10:GAP103%2F11%2F0335
n3:rokUplatneniVysledku
n19:2011
n3:tvurceVysledku
Filip, Jiří Haindl, Michal
n3:typAkce
n22:WRD
n3:zahajeniAkce
2011-12-12+01:00
n3:zamer
n11:AV0Z10750506
s:numberOfPages
84
n16:hasPublisher
ACM
n7:isbn
978-1-4503-1135-9