About: Spatial Pattern Templates for Recognition of Objects with Regular Structure

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://cmp.felk.cvut.cz/~tylecr1/papers/Tylecek-GCPR2013.pdf
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/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/12/1578)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	106800
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00212539
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	computer vision; pattern recognition; regular structure; template; graphical models; facade parsing (en)
http://linked.open.../riv/klicoveSlovo	computer vision template facade parsing regular structure pattern recognition graphical models
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	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Structural and Semantic Modeling of Architecture as a Digital Image Interpretation Problem
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Tyleček, Radim Šára, Radim
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000329236100039
http://linked.open.../riv/zahajeniAkce	2013-09-03 (xsd:date)
issn	0302-9743
number of pages	11 (xsd:int)
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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