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Description
  • We propose a method for semantic parsing of images with regular structure. The structured objects are modeled in a densely connected CRF. The paper describes how to embody specific spatial relations in a representation called Spatial Pattern Templates(SPT), which allows us to capture regularity constraints of alignment and equal spacing in pairwise and ternary potentials. Assuming the input image is pre-segmented to salient regions the SPT describe which segments could interact in the structured graphical model. The model parameters are learnt to describe the formal language of semantic labelings. Given an input image, a consistent labeling over its segments linked in the CRF is recognized as a word from this language. The CRF framework allows us to apply efficient algorithms for both recognition and learning. We demonstrate the approach on the problem of facade image parsing and show that results comparable with state of the art methods are achieved without introducing additional manually designed detectors for specific terminal objects.
  • We propose a method for semantic parsing of images with regular structure. The structured objects are modeled in a densely connected CRF. The paper describes how to embody specific spatial relations in a representation called Spatial Pattern Templates(SPT), which allows us to capture regularity constraints of alignment and equal spacing in pairwise and ternary potentials. Assuming the input image is pre-segmented to salient regions the SPT describe which segments could interact in the structured graphical model. The model parameters are learnt to describe the formal language of semantic labelings. Given an input image, a consistent labeling over its segments linked in the CRF is recognized as a word from this language. The CRF framework allows us to apply efficient algorithms for both recognition and learning. We demonstrate the approach on the problem of facade image parsing and show that results comparable with state of the art methods are achieved without introducing additional manually designed detectors for specific terminal objects. (en)
Title
  • Spatial Pattern Templates for Recognition of Objects with Regular Structure
  • Spatial Pattern Templates for Recognition of Objects with Regular Structure (en)
skos:prefLabel
  • Spatial Pattern Templates for Recognition of Objects with Regular Structure
  • Spatial Pattern Templates for Recognition of Objects with Regular Structure (en)
skos:notation
  • RIV/68407700:21230/13:00212539!RIV14-GA0-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/12/1578)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 106800
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00212539
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • computer vision; pattern recognition; regular structure; template; graphical models; facade parsing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7E491E66FE5B]
http://linked.open...v/mistoKonaniAkce
  • Saarbruecken
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • GCPR 2013: Proceedings of 35th German Conference on Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Tyleček, Radim
  • Šára, Radim
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000329236100039
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-40602-7_39
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-40601-0
http://localhost/t...ganizacniJednotka
  • 21230
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