Probabilistic Stereo Egomotion Transform

Detalhes bibliográficos
Autor(a) principal: Silva, Hugo
Data de Publicação: 2014
Outros Autores: Bernardino, A., Silva, Eduardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/7187
Resumo: In this paper we propose a novel fully probabilistic solution to the stereo egomotion estimation problem. We extend the notion of probabilistic correspondence to the stereo case which allow us to compute the whole 6D motion information in a probabilistic way. We compare the developed approach against other known state-of-the-art methods for stereo egomotion estimation, and the obtained results compare favorably both for the linear and angular velocities estimation.
id RCAP_118ae902803e4c8623280399f7b3f20b
oai_identifier_str oai:recipp.ipp.pt:10400.22/7187
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Probabilistic Stereo Egomotion TransformAngular velocityCamerasEstimationProbabilistic logicRobot sensing systemsVisualizationIn this paper we propose a novel fully probabilistic solution to the stereo egomotion estimation problem. We extend the notion of probabilistic correspondence to the stereo case which allow us to compute the whole 6D motion information in a probabilistic way. We compare the developed approach against other known state-of-the-art methods for stereo egomotion estimation, and the obtained results compare favorably both for the linear and angular velocities estimation.IEEERepositório Científico do Instituto Politécnico do PortoSilva, HugoBernardino, A.Silva, Eduardo2015-12-14T11:49:55Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/7187eng10.1109/ICRA.2014.6907662metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:47:30Zoai:recipp.ipp.pt:10400.22/7187Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:27:38.018668Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Probabilistic Stereo Egomotion Transform
title Probabilistic Stereo Egomotion Transform
spellingShingle Probabilistic Stereo Egomotion Transform
Silva, Hugo
Angular velocity
Cameras
Estimation
Probabilistic logic
Robot sensing systems
Visualization
title_short Probabilistic Stereo Egomotion Transform
title_full Probabilistic Stereo Egomotion Transform
title_fullStr Probabilistic Stereo Egomotion Transform
title_full_unstemmed Probabilistic Stereo Egomotion Transform
title_sort Probabilistic Stereo Egomotion Transform
author Silva, Hugo
author_facet Silva, Hugo
Bernardino, A.
Silva, Eduardo
author_role author
author2 Bernardino, A.
Silva, Eduardo
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Silva, Hugo
Bernardino, A.
Silva, Eduardo
dc.subject.por.fl_str_mv Angular velocity
Cameras
Estimation
Probabilistic logic
Robot sensing systems
Visualization
topic Angular velocity
Cameras
Estimation
Probabilistic logic
Robot sensing systems
Visualization
description In this paper we propose a novel fully probabilistic solution to the stereo egomotion estimation problem. We extend the notion of probabilistic correspondence to the stereo case which allow us to compute the whole 6D motion information in a probabilistic way. We compare the developed approach against other known state-of-the-art methods for stereo egomotion estimation, and the obtained results compare favorably both for the linear and angular velocities estimation.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2015-12-14T11:49:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/7187
url http://hdl.handle.net/10400.22/7187
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/ICRA.2014.6907662
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799131371566792704

Registros relacionados