Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments

Detalles Bibliográficos
Autores: Sánchez González, Patricia|||0000-0001-9871-0884, Gayá Moreno, Francisco Javier, Cano González, Alicia, Gómez Aguilera, Enrique Javier|||0000-0001-6998-1407
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:2736
Acceso en línea:https://oa.upm.es/2736/
Access Level:acceso abierto
Palabra clave:Laparoscopic surgery
video analysis
illumination model
segmentation
3D reconstruction
augmented reality.
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spelling Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environmentsSánchez González, Patricia|||0000-0001-9871-0884Gayá Moreno, Francisco JavierCano González, AliciaGómez Aguilera, Enrique Javier|||0000-0001-6998-1407Laparoscopic surgeryvideo analysisillumination modelsegmentation3D reconstructionaugmented reality.20082008-07-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/2736/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:27362026-06-21T12:45:07Z
dc.title.none.fl_str_mv Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
title Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
spellingShingle Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
Sánchez González, Patricia|||0000-0001-9871-0884
Laparoscopic surgery
video analysis
illumination model
segmentation
3D reconstruction
augmented reality.
title_short Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
title_full Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
title_fullStr Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
title_full_unstemmed Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
title_sort Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments
dc.creator.none.fl_str_mv Sánchez González, Patricia|||0000-0001-9871-0884
Gayá Moreno, Francisco Javier
Cano González, Alicia
Gómez Aguilera, Enrique Javier|||0000-0001-6998-1407
author Sánchez González, Patricia|||0000-0001-9871-0884
author_facet Sánchez González, Patricia|||0000-0001-9871-0884
Gayá Moreno, Francisco Javier
Cano González, Alicia
Gómez Aguilera, Enrique Javier|||0000-0001-6998-1407
author_role author
author2 Gayá Moreno, Francisco Javier
Cano González, Alicia
Gómez Aguilera, Enrique Javier|||0000-0001-6998-1407
author2_role author
author
author
dc.subject.none.fl_str_mv Laparoscopic surgery
video analysis
illumination model
segmentation
3D reconstruction
augmented reality.
topic Laparoscopic surgery
video analysis
illumination model
segmentation
3D reconstruction
augmented reality.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/2736/
url https://oa.upm.es/2736/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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