A multi-level depiction method for painterly rendering based on visual perception cue
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Hochang | - |
dc.contributor.author | Seo, Sanghyun | - |
dc.contributor.author | Ryoo, Seungtaek | - |
dc.contributor.author | Ahn, Keejoo | - |
dc.contributor.author | Yoon, Kyunghyun | - |
dc.date.available | 2019-03-09T01:58:23Z | - |
dc.date.issued | 2013-05 | - |
dc.identifier.issn | 1380-7501 | - |
dc.identifier.issn | 1573-7721 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14661 | - |
dc.description.abstract | Increasing the level of detail (LOD) in brushstrokes within areas of interest improved the realism of painterly rendering. Using a modified quad-tree, we segmented an image into areas with similar levels of saliency; each of these segments was then used to control the brush strokes during rendering. We could also simulate real oil painting steps based on saliency information. Our method runs in a reasonable fine and produces results that are visually appealing and competitive with previous techniques. | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER | - |
dc.title | A multi-level depiction method for painterly rendering based on visual perception cue | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s11042-012-1036-x | - |
dc.identifier.bibliographicCitation | MULTIMEDIA TOOLS AND APPLICATIONS, v.64, no.2, pp 277 - 292 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000316876200004 | - |
dc.identifier.scopusid | 2-s2.0-84883095753 | - |
dc.citation.endPage | 292 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 277 | - |
dc.citation.title | MULTIMEDIA TOOLS AND APPLICATIONS | - |
dc.citation.volume | 64 | - |
dc.type.docType | Article | - |
dc.publisher.location | 네델란드 | - |
dc.subject.keywordAuthor | Non-photorealistic rendering | - |
dc.subject.keywordAuthor | Painting technique | - |
dc.subject.keywordAuthor | Image saliency | - |
dc.subject.keywordPlus | ATTENTION | - |
dc.subject.keywordPlus | MODEL | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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