Optical Flow as a Tool for Cardiac Motion Estimation

dc.creatorMedina Molina, Ruben
dc.creatorMorocho Zurita, Carlos Villie
dc.creatorVanegas Peralta, Pablo Fernando
dc.date2018-01-11T16:47:26Z
dc.date2018-01-11T16:47:26Z
dc.date2015-07-14
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:32:19Z
dc.date.available2018-03-14T20:32:19Z
dc.identifier9781479975884
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84959376348&doi=10.1109%2fAPCASE.2015.38&partnerID=40&md5=1d2de3406a3fa52cce515a2179c79e10
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29109
dc.identifier10.1109/APCASE.2015.38
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1136011
dc.descriptionA sparse based algorithm for optical flow estimation is presented and compared with several classical optical flow estimation algorithms. The comparison is performed using several video sequences available from the Middlebury benchmark where the ground truth optical flow is known. The sparse algorithm attains competitive results with average angular errors as low as 2.09° and average magnitude errors as low as 0.100. The algorithms are also tested using a 4 - D cardiac Magnetic Resonance Image (MRI) sequence. The sparse algorithm estimates an optical flow field that represents the motion of contraction during the systole interval.
dc.descriptionQuito
dc.languageen_US
dc.publisherINSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/ec/
dc.sourceinstname:Universidad de Cuenca
dc.sourcereponame:Repositorio Digital de la Universidad de Cuenca
dc.sourceProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
dc.titleOptical Flow as a Tool for Cardiac Motion Estimation
dc.typeArtículos de revistas


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