Learning based hole filling method using deep convolutional neural networks for view synthesis

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dc.contributor.authorLim, Heountaekko
dc.contributor.authorKim, Hak Guko
dc.contributor.authorRo, Yong Manko
dc.date.accessioned2016-06-29T02:20:35Z-
dc.date.available2016-06-29T02:20:35Z-
dc.date.created2016-04-18-
dc.date.created2016-04-18-
dc.date.created2016-04-18-
dc.date.created2016-04-18-
dc.date.issued2016-02-17-
dc.identifier.citationIS&T International Symposium on Electronic Imaging 2016-
dc.identifier.urihttp://hdl.handle.net/10203/208564-
dc.languageEnglish-
dc.publisherIS&T-
dc.titleLearning based hole filling method using deep convolutional neural networks for view synthesis-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85046056233-
dc.type.rimsCONF-
dc.citation.publicationnameIS&T International Symposium on Electronic Imaging 2016-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSan Francisco, California-
dc.contributor.localauthorRo, Yong Man-
dc.contributor.nonIdAuthorLim, Heountaek-
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EE-Conference Papers(학술회의논문)
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