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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| Andere auteurs: | , , |
| Formaat: | article |
| Taal: | Engels |
| Gepubliceerd in: |
2005
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| Onderwerpen: | |
| Online toegang: | https://hdl.handle.net/20.500.12008/21194 |
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| _version_ | 1868890075813642240 |
|---|---|
| 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 |