Ubiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using Smartphones
DC Field | Value | Language |
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dc.contributor.author | Sohn, Bong-Soo | - |
dc.date.available | 2019-03-08T09:36:46Z | - |
dc.date.issued | 2017-03 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4761 | - |
dc.description.abstract | This 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.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Ubiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using Smartphones | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s17030572 | - |
dc.identifier.bibliographicCitation | SENSORS, v.17, no.3 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000398818700145 | - |
dc.identifier.scopusid | 2-s2.0-85015177392 | - |
dc.citation.number | 3 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 17 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | smartphone application | - |
dc.subject.keywordAuthor | computer graphics | - |
dc.subject.keywordAuthor | ubiquitous computing | - |
dc.subject.keywordPlus | ADAPTIVE HISTOGRAM EQUALIZATION | - |
dc.subject.keywordPlus | GENERATION | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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