Modeling Symmetries for Stochastic Structural Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187152" target="_blank" >RIV/68407700:21230/11:00187152 - 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
Modeling Symmetries for Stochastic Structural Recognition
Original language description
We propose a method for stochastic parsing of images with regular structures exhibiting symmetries, such as facades of buildings. The translational symmetry is represented by an array of elements (windows) that is generated with a stochastic grammar which allows structural exceptions and spatial deviations for individual elements. The reflection symmetry of the elements is automatically inferred as a part of the learning process, where a set of random weak features is boosted into a final mixture. A hierarchical probability model is built for the attributed 'words' generated by the proposed grammar. The image parsing result is then found as the most probable interpretation visited with MCMC sampler which is designed to efficiently explore the space ofpossible configurations.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2nd International Workshop on Stochastic Image Grammars at 2011 IEEE International Conference on Computer Vision
ISBN
978-1-4673-0063-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
632-639
Publisher name
IEEE
Place of publication
Piscataway
Event location
Barcelona
Event date
Nov 12, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000300056700087

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