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Stochastic Recognition of Regular Structures in Facade Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200270" target="_blank" >RIV/68407700:21230/12:00200270 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.am.sanken.osaka-u.ac.jp/CVA/" target="_blank" >http://www.am.sanken.osaka-u.ac.jp/CVA/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2197/ipsjtcva.4.63" target="_blank" >10.2197/ipsjtcva.4.63</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic Recognition of Regular Structures in Facade Images

  • Original language description

    We present a method for recognition of structured images and demonstrate it on the 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 attributes 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. 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.

  • Czech name

  • Czech description

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

Result continuities

  • Project

    <a href="/en/project/GAP103%2F12%2F1578" target="_blank" >GAP103/12/1578: Structural and Semantic Modeling of Architecture as a Digital Image Interpretation Problem</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IPSJ Transactions on Computer Vision and Applications (CVA)

  • ISSN

    1882-6695

  • e-ISSN

  • Volume of the periodical

    4

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    JP - JAPAN

  • Number of pages

    8

  • Pages from-to

    63-70

  • UT code for WoS article

  • EID of the result in the Scopus database