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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00212574%21RIV15-MSM-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Wide-baseline matching focussing on problems with extreme viewpoint change is considered. We in troduce the use of view synthesis with affine-covariant detectors to solve such problems and show that matching with the Hessian-Affine or MSER detectors outperforms the state-of-the-art ASIFT [19]. To minimise the loss of speed caused by view synthesis, we propose the Matching On Demand with view Synthesis algorithm (MODS) that uses progressively more synthesized images and more (time-consuming) detectors until reliable estimation of geometry is possible. We show experimentally that the MODS algorithm solves problems beyond the state-of-the-art and yet is comparable in speed to standard wide-baseline matchers on simpler problems. Minor contributions include an improved method for tentative correspondence selection, applicable both with and without view synthesis and a view synthesis setup greatly improving MSER robustness to blur and scale change that increase its running time by 10% only. Wide-baseline matching focussing on problems with extreme viewpoint change is considered. We in troduce the use of view synthesis with affine-covariant detectors to solve such problems and show that matching with the Hessian-Affine or MSER detectors outperforms the state-of-the-art ASIFT [19]. To minimise the loss of speed caused by view synthesis, we propose the Matching On Demand with view Synthesis algorithm (MODS) that uses progressively more synthesized images and more (time-consuming) detectors until reliable estimation of geometry is possible. We show experimentally that the MODS algorithm solves problems beyond the state-of-the-art and yet is comparable in speed to standard wide-baseline matchers on simpler problems. Minor contributions include an improved method for tentative correspondence selection, applicable both with and without view synthesis and a view synthesis setup greatly improving MSER robustness to blur and scale change that increase its running time by 10% only.
dcterms:title
Two-view Matching with View Synthesis Revisited Two-view Matching with View Synthesis Revisited
skos:prefLabel
Two-view Matching with View Synthesis Revisited Two-view Matching with View Synthesis Revisited
skos:notation
RIV/68407700:21230/13:00212574!RIV15-MSM-21230___
n3:aktivita
n17:P
n3:aktivity
P(7E11036), P(LL1303), P(TE01020415)
n3:dodaniDat
n20:2015
n3:domaciTvurceVysledku
Perďoch, Michal n14:1711326 Mishkin, Dmytro
n3:druhVysledku
n8:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
112201
n3:idVysledku
RIV/68407700:21230/13:00212574
n3:jazykVysledku
n5:eng
n3:klicovaSlova
feature extraction; image matching; view synthesis
n3:klicoveSlovo
n15:feature%20extraction n15:image%20matching n15:view%20synthesis
n3:kontrolniKodProRIV
[8289B539215C]
n3:mistoKonaniAkce
Wellington
n3:mistoVydani
Piscataway
n3:nazevZdroje
2013 28th International Conference of Image and Vision Computing New Zealand (IVCNZ 2013)
n3:obor
n13:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:7E11036 n6:TE01020415 n6:LL1303
n3:rokUplatneniVysledku
n20:2013
n3:tvurceVysledku
Perďoch, Michal Matas, Jiří Mishkin, Dmytro
n3:typAkce
n22:WRD
n3:zahajeniAkce
2013-11-27+01:00
s:issn
2151-2191
s:numberOfPages
6
n4:doi
10.1109/IVCNZ.2013.6727054
n11:hasPublisher
IEEE
n7:isbn
978-1-4799-0882-0
n16:organizacniJednotka
21230