Finding vanishing points via point alignments in image primal and dual domains
Resumen:
We present a novel method for automatic vanishing point detection based on primal and dual point alignment detection. The very same point alignment detection algorithm is used twice: First in the image domain to group line segment endpoints into more precise lines. Second, it is used in the dual domain where converging lines become aligned points. The use of the recently introduced PClines dual spaces and a robust point alignment detector leads to a very accurate algorithm. Experimental results on two public standard datasets show that our method significantly advances the state-of-the-art in the Manhattan world scenario, while producing state-of-the-art performances in non-Manhattan scenes.
| 2014 | |
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Vanishing point detection Line-to-point mapping 2d point alignments Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41813 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522993759322112 |
|---|---|
| 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 present a novel method for automatic vanishing point detection based on primal and dual point alignment detection. The very same point alignment detection algorithm is used twice: First in the image domain to group line segment endpoints into more precise lines. Second, it is used in the dual domain where converging lines become aligned points. The use of the recently introduced PClines dual spaces and a robust point alignment detector leads to a very accurate algorithm. Experimental results on two public standard datasets show that our method significantly advances the state-of-the-art in the Manhattan world scenario, while producing state-of-the-art performances in non-Manhattan scenes. |
| dc.description.es.fl_txt_mv | Trabajo publicado en IEEE Conference on Computer Vision and Pattern Recognition, la versión open access que se publica es suministrada por Computer Vision Foundation. La versión autorizada puede consultarse en IEEE Xplore. DOI: 10.1109/CVPR.2014.72 |
| dc.identifier.citation.es.fl_str_mv | Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M."Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains," Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23-28 jun., 2014. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41813 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Computer Vision Foundation |
| dc.relation.ispartof.es.fl_str_mv | Conference pone von Gioi, R, Randall, G, Morel, J.M."Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains," Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23-28 jun., 2014 |
| 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 | Vanishing point detection Line-to-point mapping 2d point alignments |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Finding vanishing points via point alignments in image primal and dual domains |
| 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 publicado en IEEE Conference on Computer Vision and Pattern Recognition, la versión open access que se publica es suministrada por Computer Vision Foundation. La versión autorizada puede consultarse en IEEE Xplore. DOI: 10.1109/CVPR.2014.72 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_5f7eca730c9b576108a2e05be7ab5347 |
| identifier_str_mv | Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M."Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains," Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23-28 jun., 2014. |
| 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:20.500.12008/41813 |
| 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."Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains," Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23-28 jun., 2014.https://hdl.handle.net/20.500.12008/41813Trabajo publicado en IEEE Conference on Computer Vision and Pattern Recognition, la versión open access que se publica es suministrada por Computer Vision Foundation. La versión autorizada puede consultarse en IEEE Xplore. DOI: 10.1109/CVPR.2014.72We present a novel method for automatic vanishing point detection based on primal and dual point alignment detection. The very same point alignment detection algorithm is used twice: First in the image domain to group line segment endpoints into more precise lines. Second, it is used in the dual domain where converging lines become aligned points. The use of the recently introduced PClines dual spaces and a robust point alignment detector leads to a very accurate algorithm. Experimental results on two public standard datasets show that our method significantly advances the state-of-the-art in the Manhattan world scenario, while producing state-of-the-art performances in non-Manhattan scenes.Made available in DSpace on 2023-12-11T19:57:53Z (GMT). No. of bitstreams: 5 LGMR14a.pdf: 6443896 bytes, checksum: f0d88f8d5ecb4f39df62ab8450efff07 (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: 2014enengComputer Vision FoundationConference pone von Gioi, R, Randall, G, Morel, J.M."Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains," Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23-28 jun., 2014Las 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)Vanishing point detectionLine-to-point mapping2d point alignmentsProcesamiento de SeñalesFinding vanishing points via point alignments in image primal and dual domainsPonenciainfo: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 | Finding vanishing points via point alignments in image primal and dual domains Morel, Jean-Michel Vanishing point detection Line-to-point mapping 2d point alignments Procesamiento de Señales |
| status_str | publishedVersion |
| title | Finding vanishing points via point alignments in image primal and dual domains |
| title_full | Finding vanishing points via point alignments in image primal and dual domains |
| title_fullStr | Finding vanishing points via point alignments in image primal and dual domains |
| title_full_unstemmed | Finding vanishing points via point alignments in image primal and dual domains |
| title_short | Finding vanishing points via point alignments in image primal and dual domains |
| title_sort | Finding vanishing points via point alignments in image primal and dual domains |
| topic | Vanishing point detection Line-to-point mapping 2d point alignments Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41813 |
