Light-weight Novel View Synthesis for Casual Multiview Photography

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dc.contributor.authorChoi, Inchangko
dc.contributor.authorLEE, YEONG BEUMko
dc.contributor.authorJeong, Daelyongko
dc.contributor.authorShin, Insikko
dc.contributor.authorKim, Min Hyukko
dc.date.accessioned2019-12-13T09:30:36Z-
dc.date.available2019-12-13T09:30:36Z-
dc.date.created2019-11-11-
dc.date.created2019-11-11-
dc.date.created2019-11-11-
dc.date.issued2019-10-08-
dc.identifier.citationInternational Symposium on Visual Computing (ISVC 2019), pp.552 - 564-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/269272-
dc.description.abstractTraditional view synthesis for image-based rendering requires various processes: camera synchronization with professional equipment, geometric calibration, multiview stereo, and surface reconstruction, resulting in heavy computation, in addition to manual user interactions throughout these processes. Therefore, view synthesis has been available exclusively for professional users. In this paper, we address these expensive costs to enable view synthesis for casual users even with mobile-phone cameras. We assume that casual users take multiple photographs using their phone-cameras, which are used for view synthesis. First, without relying on any expensive synchronization hardware, our method can capture synchronous multiview photographs by utilizing a wireless network protocol. Second, our method provides lightweight image-based rendering on the mobile phone, where heavy computational processes, such as estimating geometry proxies, alpha mattes, and inpainted textures, are processed by a server to be shared in an interactable time. Finally, it allows us to render novel view synthesis along a virtual camera path on the mobile devices, enabling bullet-time photography from casual multiview captures.-
dc.languageEnglish-
dc.publisherSpringer-
dc.titleLight-weight Novel View Synthesis for Casual Multiview Photography-
dc.typeConference-
dc.identifier.wosid000582481300043-
dc.identifier.scopusid2-s2.0-85076167825-
dc.type.rimsCONF-
dc.citation.beginningpage552-
dc.citation.endingpage564-
dc.citation.publicationnameInternational Symposium on Visual Computing (ISVC 2019)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationLake Tahoe, Nevada-
dc.identifier.doi10.1007/978-3-030-33720-9_43-
dc.contributor.localauthorShin, Insik-
dc.contributor.localauthorKim, Min Hyuk-
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CS-Conference Papers(학술회의논문)
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