Enforcing local context into shape statistics
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Byung-Woo | - |
dc.contributor.author | Soatto, Stefano | - |
dc.contributor.author | Vese, Luminita A. | - |
dc.date.available | 2019-05-30T02:42:32Z | - |
dc.date.issued | 2009-10 | - |
dc.identifier.issn | 1019-7168 | - |
dc.identifier.issn | 1572-9044 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/23008 | - |
dc.description.abstract | The paper presents a variational framework to compute first and second order statistics of an ensemble of shapes undergoing deformations. Geometrically "meaningful" correspondence between shapes is established via a kernel descriptor that characterizes local shape properties. Such a descriptor allows retaining geometric features such as high-curvature structures in the average shape, unlike conventional methods where the average shape is usually smoothed out by generic regularization terms. The obtained shape statistics are integrated into segmentation as a prior knowledge. The effectiveness of the method is demonstrated through experimental results with synthetic and real images. | - |
dc.format.extent | 29 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPRINGER | - |
dc.title | Enforcing local context into shape statistics | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s10444-008-9104-5 | - |
dc.identifier.bibliographicCitation | ADVANCES IN COMPUTATIONAL MATHEMATICS, v.31, no.1-3, pp 185 - 213 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000266642100009 | - |
dc.identifier.scopusid | 2-s2.0-67349110514 | - |
dc.citation.endPage | 213 | - |
dc.citation.number | 1-3 | - |
dc.citation.startPage | 185 | - |
dc.citation.title | ADVANCES IN COMPUTATIONAL MATHEMATICS | - |
dc.citation.volume | 31 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Shape descriptor | - |
dc.subject.keywordAuthor | Shape statistics | - |
dc.subject.keywordAuthor | Variational framework | - |
dc.subject.keywordAuthor | Segmentation | - |
dc.subject.keywordPlus | IMAGE SEGMENTATION | - |
dc.subject.keywordPlus | ACTIVE CONTOURS | - |
dc.subject.keywordPlus | DISTANCE FUNCTIONS | - |
dc.subject.keywordPlus | REGISTRATION | - |
dc.subject.keywordPlus | PRIORS | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | REPRESENTATION | - |
dc.subject.keywordPlus | MOTION | - |
dc.subject.keywordPlus | AREA | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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