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...
- 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
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|
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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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
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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.coSS4gT0JSQVMgWUEgUFVCTElDQURBUwoKUGFyYSBvYnJhcyB5YSBwdWJsaWNhZGFzIHNlIHJlcXVpZXJlLCBwYXJhIGVsIGFyY2hpdm8geSBkaXZ1bGdhY2nDs24gZW4gZWwgUmVwb3NpdG9yaW8gSW5zdGl0dWNpb25hbCBkZSBsYSBVbml2ZXJzaWRhZCBFQUZJVCwgcXVlIGVsIGF1dG9yIGNvbm96Y2EgeSB2YWxpZGUgbGFzIGNvbmRpY2lvbmVzIGVuIHF1ZSBoYSBzdXNjcml0byBsb3MgYWN1ZXJkb3MgZGUgY2VzacOzbiBvIGxpY2VuY2lhIGRlIGRlcmVjaG9zIGRlIGF1dG9yIGNvbiBsYShzKSBlZGl0b3JpYWwoZXMpIGVuIGxhcyBxdWUgaGEgcHVibGljYWRvIGxhIG9icmEuCgpFc3RhIHZlcmlmaWNhY2nDs24gc2UgcHVlZGUgcmVhbGl6YXIgY29uc3VsdGFuZG8gbGFzIGJhc2VzIGRlIGRhdG9zIFNIRVJQQSAvIFJPTUVPIHkgRFVMQ0lORUEsIHBhcmEgY29ub2NlciBsYSBwb2zDrXRpY2Egc29icmUgZGVyZWNob3MgZGUgYXV0b3IgZGUgbGEgcmVzcGVjdGl2YSBlZGl0b3JpYWwuIEVuIGNhc28gZGUgcXVlIGxhIGVkaXRvcmlhbCBubyBzZSBlbmN1ZW50cmUgZW4gZXN0YXMgYmFzZXMgZGUgZGF0b3MsIGVsIGF1dG9yIGRlYmUgY29uc3VsdGFyIGRpcmVjdGFtZW50ZSBjb24gZWwgcmVzcG9uc2FibGUgZGUgbGEgZmlybWEgZGUgbGEgbGljZW5jaWEgcG9yIHBhcnRlIGRlIGxhIGVkaXRvcmlhbC4KCkNvbnN1bHRhciBQb2zDrXRpY2EgZGVsIFJlcG9zaXRvcmlvIEluc3RpdHVjaW9uYWwuCgpJSS4gT0JSQVMgSU7DiURJVEFTCgpFbCBhdXRvciBjb25zZXJ2YSB0b2RvcyBsb3MgZGVyZWNob3MsIGNvbiBsbyBjdWFsIHB1ZWRlIHB1YmxpY2FybGEgcG9zdGVyaW9ybWVudGUuIFNlIHJlY29taWVuZGEgY29ub2Nlci9yZXZpc2FyIGxhIHBvbMOtdGljYSBkZSBkb25kZSBzZSBwcmV2w6kgcHVibGljYXIsIGRhZG8gcXVlIGFsZ3Vub3MgcHVibGljYWRvcmVzIHPDs2xvIGFjZXB0YW4gdHJhYmFqb3Mgbm8gZGlmdW5kaWRvcyBjb24gYW50ZXJpb3JpZGFkLiBQdWVkZSBjb25zdWx0YXIgbGEgYmFzZSBkZSBkYXRvcyBTSEVSUEEvUk9NRU8qIG8gRFVMQ0lORUEqKiwgcGFyYSBjb25vY2VyIGxhIHBvbMOtdGljYSBzb2JyZSBkZXJlY2hvcyBkZSBhdXRvciBkZSBsYSByZXNwZWN0aXZhIGVkaXRvcmlhbC4KCkFVVE9SSVpBQ0nDk04gREUgUFVCTElDQUNJw5NOIEVOIEZPUk1BIEFOQUzDk0dJQ0EgTyBESUdJVEFMIERFIExBIE9CUkEuCgpBdXRvcml6byBlbiBmb3JtYSBncmF0dWl0YSB5IHBvciB0aWVtcG8gaW5kZWZpbmlkbyBhIGxhIFVuaXZlcnNpZGFkIEVBRklUIHBhcmEgcmVhbGl6YXIgbGFzIHNpZ3VpZW50ZXMgYWN0aXZpZGFkZXM6CgotIFB1YmxpY2FyIGVuIGZvcm1hIGVsZWN0csOzbmljYSBvIGRpdnVsZ2FyIHBvciBtZWRpbyBlbGVjdHLDs25pY28gZWwgdGV4dG8gZGVsIHRyYWJham8gY29uIGVsIGZpbiBkZSBzZXIgY29uc3VsdGFkbyBwb3IgZWwgcMO6YmxpY28gZW4gaHR0cDovL3d3dy5lYWZpdC5lZHUuY28vYmlibGlvdGVjYQotIFB1YmxpY2FyIGVuIGZvcm1hIGVsZWN0csOzbmljYSwgZGl2dWxnYXIgcG9yIG1lZGlvIGVsZWN0csOzbmljbyB5IHByZXNlcnZhciBlbCB0ZXh0byBkZWwgdHJhYmFqbyBjb24gZWwgZmluIGRlIHNlciBjb25zdWx0YWRvIHBvciBlbCBww7pibGljbyBlbiBodHRwOi8vcmVwb3NpdG9yeS5lYWZpdC5lZHUuY28KClRvZG8gcGVyc29uYSBxdWUgY29uc3VsdGUgZWwgbWF0ZXJpYWwgYmllbiBzZWEgZGUgZm9ybWEgYW5hbMOzZ2ljYSBvIGRpZ2l0YWwsIHBvZHLDoSByZWFsaXphciBjaXRhcyBjb25mb3JtZSBhIGxvIHBlcm1pdGlkbyBwb3IgbGEgbGV5IGNpdGFuZG8gZW4gdG9kbyBjYXNvIGxhcyBmdWVudGVzLiBFc3RhIGF1dG9yaXphY2nDs24gbm8gaW1wbGljYSByZW51bmNpYSBhIGxhIGZhY3VsdGFkIHF1ZSB0ZW5nbyBkZSBwdWJsaWNhciB0b3RhbCBvIHBhcmNpYWxtZW50ZSBsYSBvYnJhLgoKRGVjbGFybyBxdWUgc295IGVsIGF1dG9yIHkgdGl0dWxhciBkZSBsb3MgZGVyZWNob3MgZGUgYXV0b3Igc29icmUgbGEgb2JyYSwgeSBxdWUgbGEgbWlzbWEgZXMgb3JpZ2luYWwsIHBvciBsbyB0YW50byBsYSBVbml2ZXJzaWRhZCBFQUZJVCBubyBzZXLDoSByZXNwb25zYWJsZSBkZSBuaW5ndW5hIHJlY2xhbWFjacOzbiBxdWUgcHVkaWVyYSBzdXJnaXIgcG9yIHBhcnRlIGRlIHRlcmNlcm9zIHF1ZSBpbnZvcXVlbiBhdXRvcsOtYSBkZSBsYSBvYnJhIHF1ZSBwcmVzZW50by4KClNpIHRpZW5lIGFsZ3VuYSBkdWRhIHNvYnJlIGxhIGxpY2VuY2lhLCBwb3IgZmF2b3IsIGNvbnRhY3RlIGNvbiBlbCBhZG1pbmlzdHJhZG9yIGRlbCBzaXN0ZW1hLgoKRGVjbGFybyBxdWUgY29ub3pjbyBsYSBwb2zDrXRpY2EgZGVsIFJlcG9zaXRvcmlvIEluc3RpdHVjaW9uYWwgeSBjb25jZWRvIGxhIGF1dG9yaXphY2nDs24uCgpfX19fX19fX19fX19fX18KKCopIFNoZXJwYS4gRGlzcG9uaWJsZSBlbjogaHR0cDovL3d3dy5zaGVycGEuYWMudWsvcm9tZW8vP2xhPWVzCigqKikgRHVsY2luZWEuIERpc3BvbmlibGUgZW46IGh0dHA6Ly93d3cuYWNjZXNvYWJpZXJ0by5uZXQvZHVsY2luZWEK |