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
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Czech description
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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
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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
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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
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EID of the result in the Scopus database
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