About: Modeling Symmetries for Stochastic Structural Recognition     Goto   Sponge   NotDistinct   Permalink

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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 of possible configurations.
  • 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 of possible configurations. (en)
Title
  • Modeling Symmetries for Stochastic Structural Recognition
  • Modeling Symmetries for Stochastic Structural Recognition (en)
skos:prefLabel
  • Modeling Symmetries for Stochastic Structural Recognition
  • Modeling Symmetries for Stochastic Structural Recognition (en)
skos:notation
  • RIV/68407700:21230/11:00187152!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
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  • S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 213032
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  • RIV/68407700:21230/11:00187152
http://linked.open...riv/jazykVysledku
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  • computer vision; structural recognition; symmetries; stochastic grammar; MCMC; facades; windows (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9C24F8A904CB]
http://linked.open...v/mistoKonaniAkce
  • Barcelona
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  • Piscataway
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  • Proceedings of the 2nd International Workshop on Stochastic Image Grammars at 2011 IEEE International Conference on Computer Vision
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http://linked.open...UplatneniVysledku
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  • Tyleček, Radim
  • Šára, Radim
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000300056700087
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • IEEE
https://schema.org/isbn
  • 978-1-4673-0063-6
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  • 21230
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