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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F03%3A03091295%21RIV%2F2004%2FGA0%2F212304%2FN
rdf:type
n8:Vysledek skos:Concept
dcterms:description
Local joint image modeling in stereo matching brings more discriminable and stable matching features. Such features reduce the need for strong prior models (continuity) and thus algorithms that are less prone to false positive artefacts in general complex scenes can be applied. One of the principal quality factors in area-based dense stereo is the matching window shape. As it cannot be selected without having any initial matching hypothesis we propose a stratified matching approach. The window adapts to high-correlation structures in disparity space found in pre-matching which is then followed by final matching. In a rigorous ground-truth experiment we show that Stratified Dense Matching is able to increase matching density 3x, matching accuracy 1.8x, and occlusion boundary detection 2x as compared to a fixed-size rectangular windows algorithm. Performance on real outdoor complex scenes is also evaluated. Local joint image modeling in stereo matching brings more discriminable and stable matching features. Such features reduce the need for strong prior models (continuity) and thus algorithms that are less prone to false positive artefacts in general complex scenes can be applied. One of the principal quality factors in area-based dense stereo is the matching window shape. As it cannot be selected without having any initial matching hypothesis we propose a stratified matching approach. The window adapts to high-correlation structures in disparity space found in pre-matching which is then followed by final matching. In a rigorous ground-truth experiment we show that Stratified Dense Matching is able to increase matching density 3x, matching accuracy 1.8x, and occlusion boundary detection 2x as compared to a fixed-size rectangular windows algorithm. Performance on real outdoor complex scenes is also evaluated.
dcterms:title
Stratified Dense Matching for Stereopsis in Complex Scenes Stratified Dense Matching for Stereopsis in Complex Scenes
skos:prefLabel
Stratified Dense Matching for Stereopsis in Complex Scenes Stratified Dense Matching for Stereopsis in Complex Scenes
skos:notation
RIV/68407700:21230/03:03091295!RIV/2004/GA0/212304/N
n4:strany
339 ; 348
n4:aktivita
n7:P n7:Z
n4:aktivity
P(GA102/01/1371), Z(MSM 212300013)
n4:dodaniDat
n17:2004
n4:domaciTvurceVysledku
n16:8930112 n16:7610203
n4:druhVysledku
n21:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n9:predkladatel
n4:idSjednocenehoVysledku
629050
n4:idVysledku
RIV/68407700:21230/03:03091295
n4:jazykVysledku
n18:eng
n4:klicovaSlova
stereo matching
n4:klicoveSlovo
n11:stereo%20matching
n4:kontrolniKodProRIV
[C76181BA8B04]
n4:mistoKonaniAkce
Norwich
n4:mistoVydani
London
n4:nazevZdroje
BMVC 2003: Proceedings of the 14th British Machine Vision Conference
n4:obor
n19:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n10:GA102%2F01%2F1371
n4:rokUplatneniVysledku
n17:2003
n4:tvurceVysledku
Šára, Radim Kostková, Jana
n4:typAkce
n6:WRD
n4:zahajeniAkce
2003-09-09+02:00
n4:zamer
n5:MSM%20212300013
s:numberOfPages
10
n20:hasPublisher
British Machine Vision Association
n12:isbn
1-901725-23-5
n15:organizacniJednotka
21230