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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F13%3A00391429%21RIV14-GA0-67985556
rdf:type
n11:Vysledek skos:Concept
dcterms:description
This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size. This paper presents a novel image-based registration method for high-resolution multi-view images of a planar material surface. Contrary to standard registration approaches, this method aligns images based on a true plane of the material's surface and not on a plane defined by registration marks. It combines the camera calibration and the iterative fitting of desired position and slant of the surface plane, image re-registration, and evaluation of the surface alignment. To optimize image compression performance, we use an error of a compression method as a function evaluating the registration quality. The proposed method shows encouraging results on example visualizations of view- and illumination-dependent textures. In addition to a standard multi-view data registration approach, it provides a better alignment of multi-view images and thus allows more detailed visualization using the same compressed parameterization size.
dcterms:title
Registration of Multi-view Images of Planar Surfaces Registration of Multi-view Images of Planar Surfaces
skos:prefLabel
Registration of Multi-view Images of Planar Surfaces Registration of Multi-view Images of Planar Surfaces
skos:notation
RIV/67985556:_____/13:00391429!RIV14-GA0-67985556
n11:predkladatel
n13:ico%3A67985556
n3:aktivita
n22:P n22:I
n3:aktivity
I, P(GA102/08/0593), P(GAP103/11/0335)
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n18:4006623 n18:2007673
n3:druhVysledku
n19:D
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
102032
n3:idVysledku
RIV/67985556:_____/13:00391429
n3:jazykVysledku
n17:eng
n3:klicovaSlova
registration; BTF; texture; material; appearance; multi-view
n3:klicoveSlovo
n4:registration n4:material n4:appearance n4:BTF n4:texture n4:multi-view
n3:kontrolniKodProRIV
[9B524ADE1F6A]
n3:mistoKonaniAkce
Daejeon
n3:mistoVydani
Berlin
n3:nazevZdroje
11th Asian Conference on Computer Vision ACCV, Revised Selected Papers
n3:obor
n20:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n21:GAP103%2F11%2F0335 n21:GA102%2F08%2F0593
n3:rokUplatneniVysledku
n7:2013
n3:tvurceVysledku
Vávra, Radomír Filip, Jiří
n3:typAkce
n12:WRD
n3:zahajeniAkce
2012-11-05+01:00
s:issn
0302-9743
s:numberOfPages
12
n15:doi
10.1007/978-3-642-37447-0_38
n9:hasPublisher
Springer-Verlag. (Berlin; Heidelberg)
n8:isbn
978-3-642-37446-3