A model of natural image edge co-occurrence in the rototranslation group

Sanguinetti, Gonzalo - Citti, Giovanna - Sarti, Alessandro

Resumen:

In this paper, we propose to model the edge information contained in natural scenes as points in the 3D space of positions and orientations. This space is equipped with a strong geometrical structure and it is identified as the rototranslation group. In this space, we compute a histogram of co-occurrence of edges from a database of natural images and show that it can be interpreted as a probability density function, expressed by the fundamental solution of a suitable Fokker Planck equation defined in the 3D structured space. Both estimated statistics and model predictions are reconsidered and compared with the partial gestalt association fields proposed by D. J. Field, A. Hayes, and R. F. Hess (1993). Finally, parametric identification allows to estimate the variance of the co-occurrence random process in natural images.


Detalles Bibliográficos
2010
Natural image statistics
Contours
Good continuation
Perceptual organization
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/38729
Acceso abierto
Licencia Creative Commons Atribución (CC – By 4.0)
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author Sanguinetti, Gonzalo
author2 Citti, Giovanna
Sarti, Alessandro
author2_role author
author
author_facet Sanguinetti, Gonzalo
Citti, Giovanna
Sarti, Alessandro
author_role author
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dc.creator.none.fl_str_mv Sanguinetti, Gonzalo
Citti, Giovanna
Sarti, Alessandro
dc.date.accessioned.none.fl_str_mv 2023-08-01T20:33:31Z
dc.date.available.none.fl_str_mv 2023-08-01T20:33:31Z
dc.date.issued.es.fl_str_mv 2010
dc.date.submitted.es.fl_str_mv 20230801
dc.description.abstract.none.fl_txt_mv In this paper, we propose to model the edge information contained in natural scenes as points in the 3D space of positions and orientations. This space is equipped with a strong geometrical structure and it is identified as the rototranslation group. In this space, we compute a histogram of co-occurrence of edges from a database of natural images and show that it can be interpreted as a probability density function, expressed by the fundamental solution of a suitable Fokker Planck equation defined in the 3D structured space. Both estimated statistics and model predictions are reconsidered and compared with the partial gestalt association fields proposed by D. J. Field, A. Hayes, and R. F. Hess (1993). Finally, parametric identification allows to estimate the variance of the co-occurrence random process in natural images.
dc.identifier.citation.es.fl_str_mv Sanguinetti, G, Citti, G, Sarti, A. “A model of natural image edge co-occurrence in the rototranslation group”. Journal of Vision, 2010, v. 10, no. 14. doi: 10.1167/10.14.37
dc.identifier.doi.es.fl_str_mv doi: 10.1167/10.14.37
dc.identifier.eissn.es.fl_str_mv ESSN: 1534-7362
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/38729
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv ARVO
dc.relation.ispartof.es.fl_str_mv Journal of Vision, 2010, v. 10, no. 14
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 Natural image statistics
Contours
Good continuation
Perceptual organization
dc.title.none.fl_str_mv A model of natural image edge co-occurrence in the rototranslation group
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 paper, we propose to model the edge information contained in natural scenes as points in the 3D space of positions and orientations. This space is equipped with a strong geometrical structure and it is identified as the rototranslation group. In this space, we compute a histogram of co-occurrence of edges from a database of natural images and show that it can be interpreted as a probability density function, expressed by the fundamental solution of a suitable Fokker Planck equation defined in the 3D structured space. Both estimated statistics and model predictions are reconsidered and compared with the partial gestalt association fields proposed by D. J. Field, A. Hayes, and R. F. Hess (1993). Finally, parametric identification allows to estimate the variance of the co-occurrence random process in natural images.
eu_rights_str_mv openAccess
format article
id COLIBRI_51484ef6007a03c0e6e8b5a417a3cd31
identifier_str_mv Sanguinetti, G, Citti, G, Sarti, A. “A model of natural image edge co-occurrence in the rototranslation group”. Journal of Vision, 2010, v. 10, no. 14. doi: 10.1167/10.14.37
doi: 10.1167/10.14.37
ESSN: 1534-7362
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
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publishDate 2010
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 2023-08-01T20:33:31Z2023-08-01T20:33:31Z201020230801Sanguinetti, G, Citti, G, Sarti, A. “A model of natural image edge co-occurrence in the rototranslation group”. Journal of Vision, 2010, v. 10, no. 14. doi: 10.1167/10.14.37https://hdl.handle.net/20.500.12008/38729doi: 10.1167/10.14.37ESSN: 1534-7362In this paper, we propose to model the edge information contained in natural scenes as points in the 3D space of positions and orientations. This space is equipped with a strong geometrical structure and it is identified as the rototranslation group. In this space, we compute a histogram of co-occurrence of edges from a database of natural images and show that it can be interpreted as a probability density function, expressed by the fundamental solution of a suitable Fokker Planck equation defined in the 3D structured space. Both estimated statistics and model predictions are reconsidered and compared with the partial gestalt association fields proposed by D. J. Field, A. Hayes, and R. F. Hess (1993). Finally, parametric identification allows to estimate the variance of the co-occurrence random process in natural images.Made available in DSpace on 2023-08-01T20:33:31Z (GMT). No. of bitstreams: 5 SCS10.pdf: 1428750 bytes, checksum: eccb8346fc73e3a92233a62247ac81e1 (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: 2010enengARVOJournal of Vision, 2010, v. 10, no. 14Las 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)Natural image statisticsContoursGood continuationPerceptual organizationA model of natural image edge co-occurrence in the rototranslation groupArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaSanguinetti, GonzaloCitti, GiovannaSarti, 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- Universidad de la Repúblicafalse
spellingShingle A model of natural image edge co-occurrence in the rototranslation group
Sanguinetti, Gonzalo
Natural image statistics
Contours
Good continuation
Perceptual organization
status_str publishedVersion
title A model of natural image edge co-occurrence in the rototranslation group
title_full A model of natural image edge co-occurrence in the rototranslation group
title_fullStr A model of natural image edge co-occurrence in the rototranslation group
title_full_unstemmed A model of natural image edge co-occurrence in the rototranslation group
title_short A model of natural image edge co-occurrence in the rototranslation group
title_sort A model of natural image edge co-occurrence in the rototranslation group
topic Natural image statistics
Contours
Good continuation
Perceptual organization
url https://hdl.handle.net/20.500.12008/38729