Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness
Resumen:
We propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots. A robust, unsupervised and scale-invariant algorithm for the detection of good continuation of dots is derived. The results of the proposed method are illustrated on various datasets, including data from classic psychophysical studies. An online demonstration of the algorithm allows the reader to directly evaluate the method.
| 2015 | |
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Gestalt Good continuation Dots Non-accidentalness Local symmetry Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://hdl.handle.net/20.500.12008/42664
https://doi.org/10.1016/j.visres.2015.09.004. |
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| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522940383657984 |
|---|---|
| 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.creator.none.fl_str_mv | Lezama, José Randall, Gregory Morel, Jean-Michel Grompone von Gioi, Rafael |
| dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:31Z |
| dc.date.available.none.fl_str_mv | 2024-02-26T19:52:31Z |
| dc.date.issued.es.fl_str_mv | 2015 |
| dc.date.submitted.es.fl_str_mv | 20240223 |
| dc.description.abstract.none.fl_txt_mv | We propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots. A robust, unsupervised and scale-invariant algorithm for the detection of good continuation of dots is derived. The results of the proposed method are illustrated on various datasets, including data from classic psychophysical studies. An online demonstration of the algorithm allows the reader to directly evaluate the method. |
| dc.identifier.citation.es.fl_str_mv | Lezama, J, Randall, G, Morel, J-M, Grompone von Gioi, R."Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness". Vision Research, v. 126, 2016, pp 183-191, DOI https://doi.org/10.1016/j.visres.2015.09.004. |
| dc.identifier.doi.es.fl_str_mv | https://doi.org/10.1016/j.visres.2015.09.004. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42664 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Elsevier |
| dc.relation.ispartof.es.fl_str_mv | Vision Research, v. 126, 2016 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 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 | Gestalt Good continuation Dots Non-accidentalness Local symmetry |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| 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 | We propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots. A robust, unsupervised and scale-invariant algorithm for the detection of good continuation of dots is derived. The results of the proposed method are illustrated on various datasets, including data from classic psychophysical studies. An online demonstration of the algorithm allows the reader to directly evaluate the method. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_f920107bd53ff84b7b52b4c196f9a7d3 |
| identifier_str_mv | Lezama, J, Randall, G, Morel, J-M, Grompone von Gioi, R."Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness". Vision Research, v. 126, 2016, pp 183-191, DOI https://doi.org/10.1016/j.visres.2015.09.004. |
| 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:20.500.12008/42664 |
| publishDate | 2015 |
| 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 (CC - By 4.0) |
| spelling | 2024-02-26T19:52:31Z2024-02-26T19:52:31Z201520240223Lezama, J, Randall, G, Morel, J-M, Grompone von Gioi, R."Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness". Vision Research, v. 126, 2016, pp 183-191, DOI https://doi.org/10.1016/j.visres.2015.09.004.https://hdl.handle.net/20.500.12008/42664https://doi.org/10.1016/j.visres.2015.09.004.We propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots. A robust, unsupervised and scale-invariant algorithm for the detection of good continuation of dots is derived. The results of the proposed method are illustrated on various datasets, including data from classic psychophysical studies. An online demonstration of the algorithm allows the reader to directly evaluate the method.Made available in DSpace on 2024-02-26T19:52:31Z (GMT). No. of bitstreams: 5 LRMG15a.pdf: 1838313 bytes, checksum: 2bd9e650e4d631700fca98e2b13c6869 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2015enengElsevierVision Research, v. 126, 2016Las 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 (CC - By 4.0)GestaltGood continuationDotsNon-accidentalnessLocal symmetryProcesamiento de SeñalesGood continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalnessArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaLezama, JoséRandall, GregoryMorel, Jean-MichelGrompone von Gioi, RafaelProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness Lezama, José Gestalt Good continuation Dots Non-accidentalness Local symmetry Procesamiento de Señales |
| status_str | publishedVersion |
| title | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| title_full | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| title_fullStr | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| title_full_unstemmed | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| title_short | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| title_sort | Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness |
| topic | Gestalt Good continuation Dots Non-accidentalness Local symmetry Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/42664 https://doi.org/10.1016/j.visres.2015.09.004. |
