An a contrario decision method for shape element recognition

Shape recognition is the field of computer vision which addresses the problem of finding out whethera query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simplysort shapes from the database along some (dis-)similarity measure to the query shape. Th...

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Hoofdauteur: Musé, Pablo (author)
Andere auteurs: Sur, Frederic (author), Cao, Frederic (author), Gousseau, Yann (author)
Formaat: article
Taal:Engels
Gepubliceerd in: 2005
Onderwerpen:
Online toegang:https://hdl.handle.net/20.500.12008/21194
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author Musé, Pablo
author2 Sur, Frederic
Cao, Frederic
Gousseau, Yann
author2_role author
author
author
author_browse Cao, Frederic
Gousseau, Yann
Musé, Pablo
Sur, Frederic
author_facet Musé, Pablo
Sur, Frederic
Cao, Frederic
Gousseau, Yann
author_role author
collection COLIBRI
dc.creator.none.fl_str_mv Musé, Pablo
Sur, Frederic
Cao, Frederic
Gousseau, Yann
dc.date.none.fl_str_mv 2005
2019-07-03T16:35:57Z
2019-07-03T16:35:57Z
20190703
dc.identifier.none.fl_str_mv Musé, P., Sur, F., Cao, F., Gousseau, Y. An a contrario decision method for shape element recognition. International Journal of Computer Vision, 2006, v. 69, no.3
https://hdl.handle.net/20.500.12008/21194
dc.language.none.fl_str_mv en
eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.none.fl_str_mv Planar shape recognition
Background model
Number of false alarms
Meaningful matches
Level lines
PROCESAMIENTO de SEÑALES
dc.title.none.fl_str_mv An a contrario decision method for shape element recognition
dc.type.none.fl_str_mv Artículo
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description Shape recognition is the field of computer vision which addresses the problem of finding out whethera query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simplysort shapes from the database along some (dis-)similarity measure to the query shape. Their main weakness is thedecision stage, which should aim at giving a clear-cut answer to the question: “do these two shapes look alike?”In this article, the proposed solution consists in bounding the number of false correspondences of the query shapeamong the database shapes, ensuring that the obtained matches are not likely to occur “by chance”. As an application,one can decide with a parameterless method whether any two digital images share some shapes or not
eu_rights_str_mv openAccess
format article
id anni_5f50bc3a429c4bbaf7ca72d9ed15491e
identifier_str_mv Musé, P., Sur, F., Cao, F., Gousseau, Y. An a contrario decision method for shape element recognition. International Journal of Computer Vision, 2006, v. 69, no.3
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/21194
publishDate 2005
publishDateSort 2005
publisher.none.fl_str_mv Elsevier
reponame_str COLIBRI
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling An a contrario decision method for shape element recognitionMusé, PabloSur, FredericCao, FredericGousseau, YannPlanar shape recognitionBackground modelNumber of false alarmsMeaningful matchesLevel linesPROCESAMIENTO de SEÑALESShape recognition is the field of computer vision which addresses the problem of finding out whethera query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simplysort shapes from the database along some (dis-)similarity measure to the query shape. Their main weakness is thedecision stage, which should aim at giving a clear-cut answer to the question: “do these two shapes look alike?”In this article, the proposed solution consists in bounding the number of false correspondences of the query shapeamong the database shapes, ensuring that the obtained matches are not likely to occur “by chance”. As an application,one can decide with a parameterless method whether any two digital images share some shapes or notElsevier2019-07-03T16:35:57Z2019-07-03T16:35:57Z200520190703Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionMusé, P., Sur, F., Cao, F., Gousseau, Y. An a contrario decision method for shape element recognition. International Journal of Computer Vision, 2006, v. 69, no.3https://hdl.handle.net/20.500.12008/21194reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessoai:colibri.udelar.edu.uy:20.500.12008/211942026-04-14T10:15:03Z
spellingShingle An a contrario decision method for shape element recognition
Musé, Pablo
Planar shape recognition
Background model
Number of false alarms
Meaningful matches
Level lines
PROCESAMIENTO de SEÑALES
status_str publishedVersion
title An a contrario decision method for shape element recognition
title_full An a contrario decision method for shape element recognition
title_fullStr An a contrario decision method for shape element recognition
title_full_unstemmed An a contrario decision method for shape element recognition
title_short An a contrario decision method for shape element recognition
title_sort An a contrario decision method for shape element recognition
topic Planar shape recognition
Background model
Number of false alarms
Meaningful matches
Level lines
PROCESAMIENTO de SEÑALES
url https://hdl.handle.net/20.500.12008/21194