Stratified Dense Matching for Stereopsis in Complex Scenes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03091295" target="_blank" >RIV/68407700:21230/03:03091295 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Stratified Dense Matching for Stereopsis in Complex Scenes
Original language 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 tohigh-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.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F01%2F1371" target="_blank" >GA102/01/1371: Physics based computer vision</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
BMVC 2003: Proceedings of the 14th British Machine Vision Conference
ISBN
1-901725-23-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
339-348
Publisher name
British Machine Vision Association
Place of publication
London
Event location
Norwich
Event date
Sep 9, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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