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Description
  • We propose a novel method for recognition of structured images and demonstrate it on detection of windows in facade images. Given an ability to obtain local low-level data evidence on primitive elements of a structure (like window in a facade image), we determine their most probable number, attribute values (location, size) and neighborhood relation. The embedded structure is weakly modeled by pair-wise attribute constraints, which allow structure and attribute constraints to mutually support each other. We use a very general framework of reversible jump MCMC, which allows simple implementation of a specific structure model and plug-in of almost arbitrary element classifiers. The MC controls the classifier by prescribing it 'where to look', without wasting too much time on unpromising locations. We have chosen the domain of window recognition in facade images to demonstrate that the result is an efficient algorithm achieving performance of other strongly informed methods for regular structures like grids, while our general model covers loosely regular configurations as well.
  • We propose a novel method for recognition of structured images and demonstrate it on detection of windows in facade images. Given an ability to obtain local low-level data evidence on primitive elements of a structure (like window in a facade image), we determine their most probable number, attribute values (location, size) and neighborhood relation. The embedded structure is weakly modeled by pair-wise attribute constraints, which allow structure and attribute constraints to mutually support each other. We use a very general framework of reversible jump MCMC, which allows simple implementation of a specific structure model and plug-in of almost arbitrary element classifiers. The MC controls the classifier by prescribing it 'where to look', without wasting too much time on unpromising locations. We have chosen the domain of window recognition in facade images to demonstrate that the result is an efficient algorithm achieving performance of other strongly informed methods for regular structures like grids, while our general model covers loosely regular configurations as well. (en)
Title
  • A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
  • A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images (en)
skos:prefLabel
  • A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images
  • A Weak Structure Model for Regular Pattern Recognition Applied to Facade Images (en)
skos:notation
  • RIV/68407700:21230/11:00187553!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770012)
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
  • 184256
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00187553
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • structural recognition; stochastic inference; MCMC; facades; windows (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [95D6A8739265]
http://linked.open...v/mistoKonaniAkce
  • Queenstown
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • ACCV 2010: Proceedings of the 10th Asian Conference on Computer Vision, Part I
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
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
  • 000296690900035
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-19314-9
http://localhost/t...ganizacniJednotka
  • 21230
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