Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/61989

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dc.contributor.authorLourenço, Miguelpor
dc.contributor.authorBarreto, João P.por
dc.contributor.authorFonseca, Fernandopor
dc.contributor.authorFerreira, Hélderpor
dc.contributor.authorDuarte, Rui M.por
dc.contributor.authorCorreia-Pinto, Jorgepor
dc.date.accessioned2019-11-08T15:37:59Z-
dc.date.issued2014-
dc.identifier.citationLourenço, M., Barreto, J. P., Fonseca, F., Ferreira, H., Duarte, R. M., & Correia-Pinto, J. (2014, September). Continuous zoom calibration by tracking salient points in endoscopic video. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 456-463). Springer, Cham.por
dc.identifier.isbn978-3-319-10403-4-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/61989-
dc.description.abstractMany image-based systems for aiding the surgeon during minimally invasive surgery require the endoscopic camera to be calibrated at all times. This article proposes a method for accomplishing this goal whenever the camera has optical zoom and the focal length changes during the procedure. Our solution for online calibration builds on recent developments in tracking salient points using differential image alignment, is well suited for continuous operation, and makes no assumptions about the camera motion or scene rigidity. Experimental validation using both a phantom model and in vivo data shows that the method enables accurate estimation of focal length when the zoom varies, avoiding the need to explicitly recalibrate during surgery. To the best of our knowledge this the first work proposing a practical solution for online zoom calibration in the operation room.por
dc.description.sponsorshipMiguel Lourenco and Joao Barreto want to thank QREN-Mais Centro by generous funding through Novas Tecnologias para apoio a Saude e Qualidade de Vida, Projecto A- Cirurgia e Diagnostico Assistido por Computador Usando Imagem and the Portuguese Science Foundation by funding through grant SFRH/BD/63118/2009.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsclosedAccesspor
dc.subjectAnatomic Landmarkspor
dc.subjectAnimalspor
dc.subjectCalibrationpor
dc.subjectHysteroscopypor
dc.subjectImage Enhancementpor
dc.subjectMicroscopy, Videopor
dc.subjectPattern Recognition, Automatedpor
dc.subjectPhantoms, Imagingpor
dc.subjectPortugalpor
dc.subjectReproducibility of Resultspor
dc.subjectSensitivity and Specificitypor
dc.subjectSwinepor
dc.subjectVideo Recordingpor
dc.titleContinuous zoom calibration by tracking salient points in endoscopic videopor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-10404-1_57#citeaspor
oaire.citationStartPage456por
oaire.citationEndPage463por
oaire.citationIssuePART 1por
oaire.citationConferencePlaceShenzhen, Chinapor
oaire.citationVolume8673por
dc.identifier.doi10.1007/978-3-319-10404-1_57por
dc.date.embargo10000-01-01-
dc.identifier.eisbn978-3-319-10404-1-
dc.subject.fosCiências Médicas::Medicina Básicapor
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Computer Sciencepor
sdum.conferencePublicationMEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT Ipor
Aparece nas coleções:ICVS - Artigos em livros de atas / Papers in proceedings

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