A contrario 3D point alignment detection algorithm
Resumen:
In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. 499- 512, 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections.
2017 | |
Point alignment detection 3D point alignments A contrario method Gestalt theory |
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Inglés | |
Universidad de la República | |
COLIBRI | |
http://hdl.handle.net/20.500.12008/10968 | |
Acceso abierto | |
Licencia Creative Commons Atribución – No Comercial – Compartir Igual (CC –BY-NC-SA 4.0) |
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---|---|
author | Gómez, Álvaro |
author2 | Randall, Gregory Grompone von Gioi, Rafael |
author2_role | author author |
author_facet | Gómez, Álvaro Randall, Gregory Grompone von Gioi, Rafael |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Gómez Álvaro, Universidad de la República (Uruguay). Facultad de Ingeniería Randall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería Grompone von Gioi Rafael, École Normale Supérieure Paris-Saclay. Centre for Mathematics and their Applications |
dc.creator.none.fl_str_mv | Gómez, Álvaro Randall, Gregory Grompone von Gioi, Rafael |
dc.date.accessioned.none.fl_str_mv | 2018-02-05T16:04:56Z |
dc.date.available.none.fl_str_mv | 2018-02-05T16:04:56Z |
dc.date.issued.none.fl_str_mv | 2017 |
dc.description.abstract.none.fl_txt_mv | In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. 499- 512, 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections. |
dc.format.mimetype.en.fl_str_mv | aplication/pdf |
dc.identifier.citation.es.fl_str_mv | Gómez, Á, Randall, G y Grompone von Gioi, R. "A contrario 3D point alignment detection algorithm". IPOL Journal - Image Processing On Line. [en línea] 2017 2017, vol. 7, pp. 399–417. |
dc.identifier.issn.none.fl_str_mv | 2105–1232 |
dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/20.500.12008/10968 |
dc.language.iso.none.fl_str_mv | en eng |
dc.relation.ispartof.es.fl_str_mv | IPOL Journal - Image Processing On Line, 2017, vol. 7, pp. 399–417 |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Compartir Igual (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.es.fl_str_mv | Point alignment detection 3D point alignments A contrario method Gestalt theory |
dc.title.none.fl_str_mv | A contrario 3D point alignment detection algorithm |
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 present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. 499- 512, 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections. |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_84280cc468b492897ac142bf32e2461a |
identifier_str_mv | Gómez, Á, Randall, G y Grompone von Gioi, R. "A contrario 3D point alignment detection algorithm". IPOL Journal - Image Processing On Line. [en línea] 2017 2017, vol. 7, pp. 399–417. 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:20.500.12008/10968 |
publishDate | 2017 |
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 – Compartir Igual (CC –BY-NC-SA 4.0) |
spelling | Gómez Álvaro, Universidad de la República (Uruguay). Facultad de IngenieríaRandall Gregory, Universidad de la República (Uruguay). Facultad de IngenieríaGrompone von Gioi Rafael, École Normale Supérieure Paris-Saclay. Centre for Mathematics and their Applications2018-02-05T16:04:56Z2018-02-05T16:04:56Z2017Gómez, Á, Randall, G y Grompone von Gioi, R. "A contrario 3D point alignment detection algorithm". IPOL Journal - Image Processing On Line. [en línea] 2017 2017, vol. 7, pp. 399–417.2105–1232http://hdl.handle.net/20.500.12008/10968In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al. [J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. 499- 512, 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections.Submitted by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2018-02-05T16:04:56Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) GRG.pdf: 4226316 bytes, checksum: 44f5bf524f2010d5f91a96c7f49c3302 (MD5)Made available in DSpace on 2018-02-05T16:04:56Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) GRG.pdf: 4226316 bytes, checksum: 44f5bf524f2010d5f91a96c7f49c3302 (MD5) Previous issue date: 2017aplication/pdfenengIPOL Journal - Image Processing On Line, 2017, vol. 7, pp. 399–417Las 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 – Compartir Igual (CC –BY-NC-SA 4.0)Point alignment detection3D point alignmentsA contrario methodGestalt theoryA contrario 3D point alignment detection algorithmArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGómez, ÁlvaroRandall, GregoryGrompone von Gioi, RafaelProcesamiento de SeñalesTratamiento de ImágenesLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/10968/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://localhost:8080/xmlui/bitstream/20.500.12008/10968/2/license_url924993ce0b3ba389f79f32a1b2735415MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
spellingShingle | A contrario 3D point alignment detection algorithm Gómez, Álvaro Point alignment detection 3D point alignments A contrario method Gestalt theory |
status_str | publishedVersion |
title | A contrario 3D point alignment detection algorithm |
title_full | A contrario 3D point alignment detection algorithm |
title_fullStr | A contrario 3D point alignment detection algorithm |
title_full_unstemmed | A contrario 3D point alignment detection algorithm |
title_short | A contrario 3D point alignment detection algorithm |
title_sort | A contrario 3D point alignment detection algorithm |
topic | Point alignment detection 3D point alignments A contrario method Gestalt theory |
url | http://hdl.handle.net/20.500.12008/10968 |