Stereo Matching in Mean Shift Attractor Space
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86080812" target="_blank" >RIV/61989100:27240/10:86080812 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-17277-9_48" target="_blank" >http://dx.doi.org/10.1007/978-3-642-17277-9_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-17277-9_48" target="_blank" >10.1007/978-3-642-17277-9_48</a>
Alternative languages
Result language
angličtina
Original language name
Stereo Matching in Mean Shift Attractor Space
Original language description
In this paper, we present a novel method for improving the speed and accuracy of the initial disparity estimation of the stereo matching algorithms. These algorithms are widely investigated, but fast and precise estimation of a disparity map still remains a challenging problem. Recent top ranking stereo matching algorithms usually utilize a window-based approach and mean shift based clustering. We propose an algorithm inspired by a top-down approach exploiting these two steps. By using the mean shift algorithm, we transform the input images into the attractor space and then perform the matching on the attractor sets. In contrast to the state-of-the-art algorithms, where matching is done on the basis of pixel intensities, grouped according to the results of mean shift algorithm, we perform the matching between the attractor sets of both input images. In this way we are able to acquire fast disparity estimates for whole segments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F262" target="_blank" >FR-TI1/262: *Research and development of equipment for marking of long products from metal</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in visual computing : 6th international symposium, ISVC 2010 : : proceedings, parts I-III
ISBN
978-3-642-17276-2
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
465-473
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Las Vegas
Event date
Nov 29, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000290358400048