An unsupervised algorithm for detecting good continuation in Dot Patterns
Resumen:
In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of `good continuation' of points in 2D point patterns. The algorithm is based on the `a contrario' detection theory and on the assumption that `good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections.
| 2017 | |
|
Good continuation Gestalt Dots Non-accidentalness Local symmetry |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| http://hdl.handle.net/20.500.12008/8904 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-SA 4.0) |
| _version_ | 1807522890152673280 |
|---|---|
| author | Lezama, José |
| author2 | Randall, Gregory Morel, Jean-Michel Grompone von Gioi, Rafael |
| author2_role | author author author |
| author_facet | Lezama, José Randall, Gregory Morel, Jean-Michel Grompone von Gioi, Rafael |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Lezama José, Universidad de la Repúblicsa (Uruguay). Facultad de Ingeniería. Instituto de Ingeniería Eléctrica Randall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Ingeniería Eléctrica. Morel Jean-Michel, CMLA. Escuela Normal Superior de Cachan (Francia) Grompone von Gioi Rafael, CMLA. Escuela Normal Superior de Cachan (Francia) |
| dc.creator.none.fl_str_mv | Lezama, José Randall, Gregory Morel, Jean-Michel Grompone von Gioi, Rafael |
| dc.date.accessioned.none.fl_str_mv | 2017-04-25T16:01:00Z |
| dc.date.available.none.fl_str_mv | 2017-04-25T16:01:00Z |
| dc.date.issued.none.fl_str_mv | 2017 |
| dc.description.abstract.none.fl_txt_mv | In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of `good continuation' of points in 2D point patterns. The algorithm is based on the `a contrario' detection theory and on the assumption that `good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections. |
| dc.format.extent.es.fl_str_mv | 92 p. |
| dc.format.mimetype.none.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | LEZAMA, José, RANDALL, Gregory, MOREL, Jean-Michel, y otros. "An unsupervised algorithm for detecting good continuation in Dot Patterns". IPOL. Journal Image Processing On Line. [en línea] 2017, vol. 7, pp. 81--92. |
| dc.identifier.issn.none.fl_str_mv | 2105-1232 |
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.12008/8904 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | Udelar. FI-IIE |
| dc.relation.ispartof.es.fl_str_mv | IPOL. Journal Image Processing On Line, 2017, vol. 7, pp. 81--92 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-SA 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.en.fl_str_mv | Good continuation Gestalt Dots Non-accidentalness Local symmetry |
| dc.title.none.fl_str_mv | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of `good continuation' of points in 2D point patterns. The algorithm is based on the `a contrario' detection theory and on the assumption that `good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_5079a2d4c459badda631c345a7ecd404 |
| identifier_str_mv | LEZAMA, José, RANDALL, Gregory, MOREL, Jean-Michel, y otros. "An unsupervised algorithm for detecting good continuation in Dot Patterns". IPOL. Journal Image Processing On Line. [en línea] 2017, vol. 7, pp. 81--92. 2105-1232 |
| 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:20.500.12008/8904 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | Udelar. FI-IIE |
| 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-SA 4.0) |
| spelling | Lezama José, Universidad de la Repúblicsa (Uruguay). Facultad de Ingeniería. Instituto de Ingeniería EléctricaRandall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Ingeniería Eléctrica.Morel Jean-Michel, CMLA. Escuela Normal Superior de Cachan (Francia)Grompone von Gioi Rafael, CMLA. Escuela Normal Superior de Cachan (Francia)2017-04-25T16:01:00Z2017-04-25T16:01:00Z2017LEZAMA, José, RANDALL, Gregory, MOREL, Jean-Michel, y otros. "An unsupervised algorithm for detecting good continuation in Dot Patterns". IPOL. Journal Image Processing On Line. [en línea] 2017, vol. 7, pp. 81--92.2105-1232http://hdl.handle.net/20.500.12008/8904In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of `good continuation' of points in 2D point patterns. The algorithm is based on the `a contrario' detection theory and on the assumption that `good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections.Submitted by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2017-04-25T16:01:00Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) LRMG17.pdf: 1288436 bytes, checksum: 8a57b9e09630b6c1d0878556753b0e78 (MD5)Made available in DSpace on 2017-04-25T16:01:00Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) LRMG17.pdf: 1288436 bytes, checksum: 8a57b9e09630b6c1d0878556753b0e78 (MD5) Previous issue date: 201792 p.application/pdfenengUdelar. FI-IIEIPOL. Journal Image Processing On Line, 2017, vol. 7, pp. 81--92Las 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-SA 4.0)Good continuationGestaltDotsNon-accidentalnessLocal symmetryAn unsupervised algorithm for detecting good continuation in Dot PatternsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaLezama, JoséRandall, GregoryMorel, Jean-MichelGrompone von Gioi, RafaelLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/8904/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://localhost:8080/xmlui/bitstream/20.500.12008/8904/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | An unsupervised algorithm for detecting good continuation in Dot Patterns Lezama, José Good continuation Gestalt Dots Non-accidentalness Local symmetry |
| status_str | publishedVersion |
| title | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| title_full | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| title_fullStr | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| title_full_unstemmed | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| title_short | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| title_sort | An unsupervised algorithm for detecting good continuation in Dot Patterns |
| topic | Good continuation Gestalt Dots Non-accidentalness Local symmetry |
| url | http://hdl.handle.net/20.500.12008/8904 |
