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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00212526%21RIV14-TA0-21230___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
Wide-baseline matching, focussing on challenging problems e.g. with extreme viewpoint change,is considered. We introduce 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. 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 matching 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 discovery of a view synthesis set up greatly improving MSER robustness to blur and scale change that increase its running time by 10% only. Wide-baseline matching, focussing on challenging problems e.g. with extreme viewpoint change,is considered. We introduce 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. 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 matching 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 discovery of a view synthesis set up 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/68407700:21230/13:00212526!RIV14-TA0-21230___
n9:predkladatel
n12:orjk%3A21230
n3:aktivita
n11:P
n3:aktivity
P(GBP103/12/G084), P(TE01020415)
n3:dodaniDat
n16:2014
n3:domaciTvurceVysledku
Mishkin, Dmytro n17:1711326 Perďoch, Michal
n3:druhVysledku
n13:O
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
112202
n3:idVysledku
RIV/68407700:21230/13:00212526
n3:jazykVysledku
n14:eng
n3:klicovaSlova
matching; wide baseline stereo; MSER; SIFT; extreme views
n3:klicoveSlovo
n8:extreme%20views n8:MSER n8:matching n8:SIFT n8:wide%20baseline%20stereo
n3:kontrolniKodProRIV
[50F32AFFD3F9]
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n7:TE01020415 n7:GBP103%2F12%2FG084
n3:rokUplatneniVysledku
n16:2013
n3:tvurceVysledku
Matas, Jiří Mishkin, Dmytro Perďoch, Michal
n18:organizacniJednotka
21230