Edge and corner identification for tracking the line of sight

This article presents an edge-corner detector, implemented in the realm of the GEIST project (an Computer Aided Touristic Information System) to extract the information of straight edges and their intersections (image corners) from camera-captured (real world) and computer-generated images (from the...

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Autores:
Orozco, María S.
Ruíz, Óscar E.
Jasnoch, Uwe
Kretschmer, Ursula
Tipo de recurso:
Fecha de publicación:
2005
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/9671
Acceso en línea:
http://hdl.handle.net/10784/9671
Palabra clave:
DISEÑO CON AYUDA DE COMPUTADOR
VISIÓN POR COMPUTADOR
CONVOLUCIONES (MATEMÁTICAS)
PROCESAMIENTO DE IMÁGENES
INTERPRETACIÓN DE FOTOGRAFÍAS
ALGORITMOS
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
Rights
License
Acceso abierto
id REPOEAFIT2_30f2a0a02befdcbe1fa03a1c664af9c4
oai_identifier_str oai:repository.eafit.edu.co:10784/9671
network_acronym_str REPOEAFIT2
network_name_str Repositorio EAFIT
repository_id_str
dc.title.eng.fl_str_mv Edge and corner identification for tracking the line of sight
title Edge and corner identification for tracking the line of sight
spellingShingle Edge and corner identification for tracking the line of sight
DISEÑO CON AYUDA DE COMPUTADOR
VISIÓN POR COMPUTADOR
CONVOLUCIONES (MATEMÁTICAS)
PROCESAMIENTO DE IMÁGENES
INTERPRETACIÓN DE FOTOGRAFÍAS
ALGORITMOS
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
title_short Edge and corner identification for tracking the line of sight
title_full Edge and corner identification for tracking the line of sight
title_fullStr Edge and corner identification for tracking the line of sight
title_full_unstemmed Edge and corner identification for tracking the line of sight
title_sort Edge and corner identification for tracking the line of sight
dc.creator.fl_str_mv Orozco, María S.
Ruíz, Óscar E.
Jasnoch, Uwe
Kretschmer, Ursula
dc.contributor.department.spa.fl_str_mv Universidad EAFIT. Departamento de Ingeniería Mecánica
dc.contributor.author.none.fl_str_mv Orozco, María S.
Ruíz, Óscar E.
Jasnoch, Uwe
Kretschmer, Ursula
dc.contributor.researchgroup.spa.fl_str_mv Laboratorio CAD/CAM/CAE
dc.subject.lemb.spa.fl_str_mv DISEÑO CON AYUDA DE COMPUTADOR
VISIÓN POR COMPUTADOR
CONVOLUCIONES (MATEMÁTICAS)
PROCESAMIENTO DE IMÁGENES
INTERPRETACIÓN DE FOTOGRAFÍAS
ALGORITMOS
topic DISEÑO CON AYUDA DE COMPUTADOR
VISIÓN POR COMPUTADOR
CONVOLUCIONES (MATEMÁTICAS)
PROCESAMIENTO DE IMÁGENES
INTERPRETACIÓN DE FOTOGRAFÍAS
ALGORITMOS
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
dc.subject.keyword.spa.fl_str_mv Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
dc.subject.keyword.eng.fl_str_mv Computer-aided Design
Computer vision
Convolutions (Mathematics)
Image processing
Photographic interpretation
Algorithms
description This article presents an edge-corner detector, implemented in the realm of the GEIST project (an Computer Aided Touristic Information System) to extract the information of straight edges and their intersections (image corners) from camera-captured (real world) and computer-generated images (from the database of Historical Monuments, using observer position and orientation data) -- Camera and computer-generated images are processed for reduction of detail, skeletonization and corner-edge detection -- The corners surviving the detection and skeletonization process from both images are treated as landmarks and fed to a matching algorithm, which estimates the sampling errors which usually contaminate GPS and pose tracking data (fed to the computer-image generatator) -- In this manner, a closed loop control is implemented, by which the system converges to exact determination of position and orientation of an observer traversing a historical scenario (in this case the city of Heidelberg) -- With this exact position and orientation, in the GEIST project other modules are able to project history tales on the view field of the observer, which have the exact intended scenario (the real image seen by the observer) -- In this way, the tourist “sees” tales developing in actual, material historical sites of the city -- To achieve these goals this article presents the modification and articulation of algorithms such as the Canny Edge Detector, SUSAN Corner Detector, 1-D and 2-D filters, etcetera
publishDate 2005
dc.date.issued.none.fl_str_mv 2005
dc.date.available.none.fl_str_mv 2016-11-18T22:02:03Z
dc.date.accessioned.none.fl_str_mv 2016-11-18T22:02:03Z
dc.type.eng.fl_str_mv info:eu-repo/semantics/article
article
info:eu-repo/semantics/publishedVersion
publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/9671
identifier_str_mv 1794-9165
url http://hdl.handle.net/10784/9671
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv Ingeniería y Ciencia, Volume 1, Issue 2, pp 5-23
dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/492
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.eng.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Fondo Editorial EAFIT
institution Universidad EAFIT
bitstream.url.fl_str_mv https://repository.eafit.edu.co/bitstreams/136c8528-eac5-4ad3-b641-f7c8a975d1a3/download
https://repository.eafit.edu.co/bitstreams/2d2934ef-cfb0-4833-a061-7741313d2b2b/download
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bitstream.checksumAlgorithm.fl_str_mv MD5
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repository.name.fl_str_mv Repositorio Institucional Universidad EAFIT
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spelling 2016-11-18T22:02:03Z20052016-11-18T22:02:03Z1794-9165http://hdl.handle.net/10784/9671This article presents an edge-corner detector, implemented in the realm of the GEIST project (an Computer Aided Touristic Information System) to extract the information of straight edges and their intersections (image corners) from camera-captured (real world) and computer-generated images (from the database of Historical Monuments, using observer position and orientation data) -- Camera and computer-generated images are processed for reduction of detail, skeletonization and corner-edge detection -- The corners surviving the detection and skeletonization process from both images are treated as landmarks and fed to a matching algorithm, which estimates the sampling errors which usually contaminate GPS and pose tracking data (fed to the computer-image generatator) -- In this manner, a closed loop control is implemented, by which the system converges to exact determination of position and orientation of an observer traversing a historical scenario (in this case the city of Heidelberg) -- With this exact position and orientation, in the GEIST project other modules are able to project history tales on the view field of the observer, which have the exact intended scenario (the real image seen by the observer) -- In this way, the tourist “sees” tales developing in actual, material historical sites of the city -- To achieve these goals this article presents the modification and articulation of algorithms such as the Canny Edge Detector, SUSAN Corner Detector, 1-D and 2-D filters, etceteraapplication/pdfengFondo Editorial EAFITIngeniería y Ciencia, Volume 1, Issue 2, pp 5-23http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/492Acceso abiertohttp://purl.org/coar/access_right/c_abf2Edge and corner identification for tracking the line of sightinfo:eu-repo/semantics/articlearticleinfo:eu-repo/semantics/publishedVersionpublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1DISEÑO CON AYUDA DE COMPUTADORVISIÓN POR COMPUTADORCONVOLUCIONES (MATEMÁTICAS)PROCESAMIENTO DE IMÁGENESINTERPRETACIÓN DE FOTOGRAFÍASALGORITMOSComputer-aided DesignComputer visionConvolutions (Mathematics)Image processingPhotographic interpretationAlgorithmsComputer-aided DesignComputer visionConvolutions (Mathematics)Image processingPhotographic interpretationAlgorithmsUniversidad EAFIT. Departamento de Ingeniería MecánicaOrozco, María S.f11f33cc-ebb6-4b1f-8eac-87bebb2e295a-1Ruíz, Óscar E.79da89a9-56e7-4e32-9960-e465497e926e-1Jasnoch, Uwee3d17353-b7c5-4c26-9fcd-f177b389dffe-1Kretschmer, Ursulad57c6206-89bd-4a6e-a8ed-c58bcfff307d-1Laboratorio CAD/CAM/CAEIngeniería y CienciaIngeniería y Ciencia12523LICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/136c8528-eac5-4ad3-b641-f7c8a975d1a3/download76025f86b095439b7ac65b367055d40cMD51ORIGINALEdge_Detection_Printed_Version.pdfEdge_Detection_Printed_Version.pdfapplication/pdf401688https://repository.eafit.edu.co/bitstreams/2d2934ef-cfb0-4833-a061-7741313d2b2b/download063585b92159ccc917bf855ba0653ccbMD5210784/9671oai:repository.eafit.edu.co:10784/96712024-12-04 11:48:08.672open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.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