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Cited 2 time in webofscience Cited 2 time in scopus
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Ubiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using Smartphones

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dc.contributor.authorSohn, Bong-Soo-
dc.date.available2019-03-08T09:36:46Z-
dc.date.issued2017-03-
dc.identifier.issn1424-8220-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4761-
dc.description.abstractThis paper describes a new method to automatically generate digital bas-reliefs with depth-of-field effects from general scenes. Most previous methods for bas-relief generation take input in the form of 3D models. However, obtaining 3D models of real scenes or objects is often difficult, inaccurate, and time-consuming. From this motivation, we developed a method that takes as input a set of photographs that can be quickly and ubiquitously captured by ordinary smartphone cameras. A depth map is computed from the input photographs. The value range of the depth map is compressed and used as a base map representing the overall shape of the bas-relief. However, the resulting base map contains little information on details of the scene. Thus, we construct a detail map using pixel values of the input image to express the details. The base and detail maps are blended to generate a new depth map that reflects both overall depth and scene detail information. This map is selectively blurred to simulate the depth-of-field effects. The final depth map is converted to a bas-relief surface mesh. Experimental results show that our method generates a realistic bas-relief surface of general scenes with no expensive manual processing.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI AG-
dc.titleUbiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using Smartphones-
dc.typeArticle-
dc.identifier.doi10.3390/s17030572-
dc.identifier.bibliographicCitationSENSORS, v.17, no.3-
dc.description.isOpenAccessN-
dc.identifier.wosid000398818700145-
dc.identifier.scopusid2-s2.0-85015177392-
dc.citation.number3-
dc.citation.titleSENSORS-
dc.citation.volume17-
dc.type.docTypeArticle-
dc.publisher.location스위스-
dc.subject.keywordAuthorsmartphone application-
dc.subject.keywordAuthorcomputer graphics-
dc.subject.keywordAuthorubiquitous computing-
dc.subject.keywordPlusADAPTIVE HISTOGRAM EQUALIZATION-
dc.subject.keywordPlusGENERATION-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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Sohn, Bong Soo
소프트웨어대학 (소프트웨어학부)
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