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Removing Rolling Shutter Distortion using Optical Flow and RANSAC

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dc.contributor.authorJeong, Woo Jin-
dc.contributor.authorMoon, Young Shik-
dc.date.accessioned2021-06-22T20:42:03Z-
dc.date.available2021-06-22T20:42:03Z-
dc.date.created2021-02-18-
dc.date.issued2015-01-
dc.identifier.issn2158-3994-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/19216-
dc.description.abstractCMOS camera modules are used for smartphone. But CMOS camera modules have a problem of rolling shutter effect. In this paper, we propose an efficient method of removing the rolling shutter effect. We first compute the global motion vector by using the optical flow and the camera motion estimation algorithm. Then we estimate the velocity for each row of sensor array. Finally the distorted image is realigned. Experimental results show that the proposed method is more robust and faster than the previous method.-
dc.language영어-
dc.language.isoen-
dc.titleRemoving Rolling Shutter Distortion using Optical Flow and RANSAC-
dc.typeArticle-
dc.contributor.affiliatedAuthorMoon, Young Shik-
dc.identifier.doi10.1109/ICCE.2015.7066435-
dc.identifier.scopusid2-s2.0-84936131809-
dc.identifier.bibliographicCitationIEEE International Symposium on Consumer Electronics, pp.337 - 338-
dc.relation.isPartOfIEEE International Symposium on Consumer Electronics-
dc.citation.titleIEEE International Symposium on Consumer Electronics-
dc.citation.startPage337-
dc.citation.endPage338-
dc.type.rimsART-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://xplorestaging.ieee.org/document/7066435?denied=-
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