A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00207099" target="_blank" >RIV/68407700:21230/13:00207099 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-012-0571-2" target="_blank" >http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s11263-012-0571-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11263-012-0571-2" target="_blank" >10.1007/s11263-012-0571-2</a>
Alternative languages
Result language
angličtina
Original language name
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
Original language description
We propose a novel MRF-based model for image matching. Given two images, the task is to estimate a mapping from one image to another, in order to maximize the matching quality. We consider mappings defined by discrete deformation field constrained to preserve 2-dimensional continuity. We approach the corresponding optimization problem by the TRW-S (sequential Tree-reweighted message passing) algorithm [Wainwright-03, Kolmogorov-05]. Our model design allows for a considerably wider class of natural transformation and yields a compact representation of the optimization task. For this model TRW-S algorithm demonstrated nice practical performance on our experiments. We also propose a concise derivation of the TRW-S algorithm as a sequential maximization ofthe lower bound on the energy function.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Computer Vision
ISSN
0920-5691
e-ISSN
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Volume of the periodical
104
Issue of the periodical within the volume
3
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
28
Pages from-to
315-342
UT code for WoS article
000322371100006
EID of the result in the Scopus database
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