A contrario detection of good continuation of points

Morel, Jean-Michel - Randall, Gregory - Grompone von Gioi, Rafael - Lezama, José

Resumen:

We will consider the problem of detecting configurations of points regularly spaced and lying on a smooth curve. This corresponds to the notion of good continuation introduced in the Gestalt theory. We present a robust algorithm for clustering points along such curves, whilst at the same time discarding noisy samples. Based on the a contrario methodology, the detector builds upon a simple, symmetric primitive for a triplet of points, and finds statistically meaningful chains of such triplets. An efficient implementation is proposed using the Floyd-Warshall algorithm. Experiments on synthetic and real data show that the method is able to identify the perceptually relevant configuration of points in good continuation.


Detalles Bibliográficos
2014
Good continuation detection
Points
Curves
Gestalt
Procesamiento de Señales
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/41812
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Morel, Jean-Michel
author2 Randall, Gregory
Grompone von Gioi, Rafael
Lezama, José
author2_role author
author
author
author_facet Morel, Jean-Michel
Randall, Gregory
Grompone von Gioi, Rafael
Lezama, José
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Morel, Jean-Michel
Randall, Gregory
Grompone von Gioi, Rafael
Lezama, José
dc.date.accessioned.none.fl_str_mv 2023-12-11T19:57:53Z
dc.date.available.none.fl_str_mv 2023-12-11T19:57:53Z
dc.date.issued.es.fl_str_mv 2014
dc.date.submitted.es.fl_str_mv 20231211
dc.description.abstract.none.fl_txt_mv We will consider the problem of detecting configurations of points regularly spaced and lying on a smooth curve. This corresponds to the notion of good continuation introduced in the Gestalt theory. We present a robust algorithm for clustering points along such curves, whilst at the same time discarding noisy samples. Based on the a contrario methodology, the detector builds upon a simple, symmetric primitive for a triplet of points, and finds statistically meaningful chains of such triplets. An efficient implementation is proposed using the Floyd-Warshall algorithm. Experiments on synthetic and real data show that the method is able to identify the perceptually relevant configuration of points in good continuation.
dc.description.es.fl_txt_mv Trabajo presentado a International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014
dc.identifier.citation.es.fl_str_mv Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M. "A contrario detection of good continuation of points" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014, pp. 4757-4761, doi: 10.1109/ICIP.2014.7025964.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/41812
dc.language.iso.none.fl_str_mv en
eng
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 Good continuation detection
Points
Curves
Gestalt
dc.subject.other.es.fl_str_mv Procesamiento de Señales
dc.title.none.fl_str_mv A contrario detection of good continuation of points
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 Trabajo presentado a International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014
eu_rights_str_mv openAccess
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identifier_str_mv Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M. "A contrario detection of good continuation of points" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014, pp. 4757-4761, doi: 10.1109/ICIP.2014.7025964.
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
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publishDate 2014
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 2023-12-11T19:57:53Z2023-12-11T19:57:53Z201420231211Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M. "A contrario detection of good continuation of points" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014, pp. 4757-4761, doi: 10.1109/ICIP.2014.7025964.https://hdl.handle.net/20.500.12008/41812Trabajo presentado a International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014We will consider the problem of detecting configurations of points regularly spaced and lying on a smooth curve. This corresponds to the notion of good continuation introduced in the Gestalt theory. We present a robust algorithm for clustering points along such curves, whilst at the same time discarding noisy samples. Based on the a contrario methodology, the detector builds upon a simple, symmetric primitive for a triplet of points, and finds statistically meaningful chains of such triplets. An efficient implementation is proposed using the Floyd-Warshall algorithm. Experiments on synthetic and real data show that the method is able to identify the perceptually relevant configuration of points in good continuation.Made available in DSpace on 2023-12-11T19:57:53Z (GMT). No. of bitstreams: 5 LGRM14.pdf: 444480 bytes, checksum: b0d0b20ff031f40c7ed5457a83e9fdea (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: 2014enengLas 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)Good continuation detectionPointsCurvesGestaltProcesamiento de SeñalesA contrario detection of good continuation of pointsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMorel, Jean-MichelRandall, GregoryGrompone von Gioi, RafaelLezama, JoséProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse
spellingShingle A contrario detection of good continuation of points
Morel, Jean-Michel
Good continuation detection
Points
Curves
Gestalt
Procesamiento de Señales
status_str publishedVersion
title A contrario detection of good continuation of points
title_full A contrario detection of good continuation of points
title_fullStr A contrario detection of good continuation of points
title_full_unstemmed A contrario detection of good continuation of points
title_short A contrario detection of good continuation of points
title_sort A contrario detection of good continuation of points
topic Good continuation detection
Points
Curves
Gestalt
Procesamiento de Señales
url https://hdl.handle.net/20.500.12008/41812