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Image-based relighting in dynamic scenes

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dc.contributor.authorHwang, Y.H.-
dc.contributor.authorHong, H.K.-
dc.contributor.authorKwon, J.S.-
dc.date.accessioned2021-07-15T01:40:08Z-
dc.date.available2021-07-15T01:40:08Z-
dc.date.issued2005-11-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47531-
dc.description.abstractImage-based lighting (IBL) is the process of illuminating scenes and objects with images of light from the real world. To generate a high quality synthesized image, consistency of geometry and illumination has to be taken into account. In general, lighting design for realistically rendering synthetic objects into a real-world scene, is labor intensive process and not always successful. Though many researches on IBL have been presented up to now, most of them assumed static situations that light sources and the objects were not moved. This paper presents a novel algorithm that integrates synthetic objects in the real photographs by using the global illumination model and HDR (High Dynamic Range) radiance map. We identify the camera positions and the light types, and then construct 3D illumination environment of the scene. The proposed method makes it possible to handle dynamic scenes and generate photo-realistic images.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleImage-based relighting in dynamic scenes-
dc.typeArticle-
dc.identifier.doi10.1007/11582267_67-
dc.identifier.bibliographicCitationADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2, v.3768, pp 772 - 781-
dc.description.isOpenAccessN-
dc.identifier.wosid000233775300067-
dc.identifier.scopusid2-s2.0-33646695046-
dc.citation.endPage781-
dc.citation.startPage772-
dc.citation.titleADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2-
dc.citation.volume3768-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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