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dc.contributor.authorPeyré, Gabriel
HAL ID: 1211
dc.contributor.editorSpringeren
dc.date.accessioned2009-06-25T08:13:31Z
dc.date.available2009-06-25T08:13:31Z
dc.date.issued2007-07
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/467
dc.language.isoenen
dc.subjecttexture modificationen
dc.subjecttexture synthesisen
dc.subjectimage geometryen
dc.subjectnon linear wavelet transformen
dc.subjectManifold of patchesen
dc.subject.ddc519en
dc.titleTexture Synthesis and Modification with a Patch-Valued Wavelet Transformen
dc.typeCommunication / Conférenceen_US
dc.description.abstractenThis paper models a texture as a 2D mapping onto a nonlinear manifold representing the local structures of the image. This manifold is learned from the set of local patches from an exemplar texture. A multiscale decomposition of this manifold valued representation is computed that mimics the orthogonal wavelet transform. The key ingredient of this decomposition is a geometric association field that drives the computations along the manifold. Iterated predictions leads to the computation of details coefficients over the features manifold. The resulting transform is invertible, non-linear and represents efficiently the local geometric structures of the exemplar. The multiscale coefficients of this transform are used to perform analysis and synthesis of textures.en
dc.identifier.citationpages640-651
dc.relation.ispartofseriestitleLecture Notes in Computer Science
dc.relation.ispartofseriesnumber4485
dc.relation.ispartoftitleScale Space and Variational Methods in Computer Vision (SSVM'07)First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedingsen
dc.relation.ispartofeditorMurli, Almerico
dc.relation.ispartofeditorParagios, Nikos
dc.relation.ispartofeditorSgallari, Fiorella
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofpublcityBerlin
dc.relation.ispartofdate2007-07
dc.relation.ispartofpages931en
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/978-3-540-72823-8
dc.relation.isversionofdoihttp://dx.doi.org/10.1007/978-3-540-72823-8_55en
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00365612/en/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-3-540-72822-1
dc.relation.conftitleScale Space and Variational Methods in Computer Vision (SSVM'07)en
dc.relation.confdate2007-06
dc.relation.confcityIschiaen
dc.relation.confcountryItalieen


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