Morphological shape context : semi-locality and robust matching in shape recognition
Resumen:
We present a novel shape recognition method based on an al-gorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contri-butions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.
| 2009 | |
|
Level line Canny edge detector Shape context Maximal stable extremal region Jitter noise |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38685 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522934299820032 |
|---|---|
| author | Tepper, Mariano |
| author2 | Gómez, Francisco Musé, Pablo Almansa, Andrés Mejail, Marta |
| author2_role | author author author author |
| author_facet | Tepper, Mariano Gómez, Francisco Musé, Pablo Almansa, Andrés Mejail, Marta |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Tepper, Mariano Gómez, Francisco Musé, Pablo Almansa, Andrés Mejail, Marta |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:20Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:20Z |
| dc.date.issued.es.fl_str_mv | 2009 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | We present a novel shape recognition method based on an al-gorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contri-butions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval. |
| dc.identifier.citation.es.fl_str_mv | Tepper M., Gómez F., Musé P., Almansa A., Mejail M. Morphological shape context: semi-locality and robust matching in shape recognition [Preprint] Publicado en Bayro-Corrochano E., Eklundh J.O. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Berlin, Springer, 2009. https://doi.org/10.1007/978-3-642-10268-4_15 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38685 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.ispartof.es.fl_str_mv | 14o. Congreso Iberoamericano de Reconocimiento de Patrones, CIARP 09. Guadalajara, Jalisco, México, 15--18 nov., 2009 . |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| 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.es.fl_str_mv | Level line Canny edge detector Shape context Maximal stable extremal region Jitter noise |
| dc.title.none.fl_str_mv | Morphological shape context : semi-locality and robust matching in shape recognition |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | We present a novel shape recognition method based on an al-gorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contri-butions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_595eee6a459e2d916ab77364b8e821b2 |
| identifier_str_mv | Tepper M., Gómez F., Musé P., Almansa A., Mejail M. Morphological shape context: semi-locality and robust matching in shape recognition [Preprint] Publicado en Bayro-Corrochano E., Eklundh J.O. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Berlin, Springer, 2009. https://doi.org/10.1007/978-3-642-10268-4_15 |
| 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 | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38685 |
| publishDate | 2009 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-08-01T20:33:20Z2023-08-01T20:33:20Z200920230801Tepper M., Gómez F., Musé P., Almansa A., Mejail M. Morphological shape context: semi-locality and robust matching in shape recognition [Preprint] Publicado en Bayro-Corrochano E., Eklundh J.O. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Berlin, Springer, 2009. https://doi.org/10.1007/978-3-642-10268-4_15https://hdl.handle.net/20.500.12008/38685We present a novel shape recognition method based on an al-gorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contri-butions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.Made available in DSpace on 2023-08-01T20:33:20Z (GMT). No. of bitstreams: 5 TGMAM09.pdf: 1761805 bytes, checksum: 00a058a067a3185bb373996defb2e3a2 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2009eneng14o. Congreso Iberoamericano de Reconocimiento de Patrones, CIARP 09. Guadalajara, Jalisco, México, 15--18 nov., 2009 .Las 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/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Level lineCanny edge detectorShape contextMaximal stable extremal regionJitter noiseMorphological shape context : semi-locality and robust matching in shape recognitionPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaTepper, MarianoGómez, FranciscoMusé, PabloAlmansa, AndrésMejail, 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- Universidad de la Repúblicafalse |
| spellingShingle | Morphological shape context : semi-locality and robust matching in shape recognition Tepper, Mariano Level line Canny edge detector Shape context Maximal stable extremal region Jitter noise |
| status_str | publishedVersion |
| title | Morphological shape context : semi-locality and robust matching in shape recognition |
| title_full | Morphological shape context : semi-locality and robust matching in shape recognition |
| title_fullStr | Morphological shape context : semi-locality and robust matching in shape recognition |
| title_full_unstemmed | Morphological shape context : semi-locality and robust matching in shape recognition |
| title_short | Morphological shape context : semi-locality and robust matching in shape recognition |
| title_sort | Morphological shape context : semi-locality and robust matching in shape recognition |
| topic | Level line Canny edge detector Shape context Maximal stable extremal region Jitter noise |
| url | https://hdl.handle.net/20.500.12008/38685 |
