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SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorGIRAUD, Rémi
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorTA, Vinh-Thong
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBUGEAU, Aurélie
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorCOUPÉ, Pierrick
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPAPADAKIS, Nicolas
dc.date.accessioned2024-04-04T03:09:59Z
dc.date.available2024-04-04T03:09:59Z
dc.date.issued2017
dc.identifier.issn1057-7149
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193655
dc.description.abstractEnSuperpixels have become very popular in many computer vision applications. Nevertheless, they remain underexploited since the superpixel decomposition may produce irregular and non stable segmentation results due to the dependency to the image content. In this paper, we first introduce a novel structure, a superpixel-based patch, called SuperPatch. The proposed structure, based on superpixel neighborhood, leads to a robust descriptor since spatial information is naturally included. The generalization of the PatchMatch method to SuperPatches, named SuperPatchMatch, is introduced. Finally, we propose a framework to perform fast segmentation and labeling from an image database, and demonstrate the potential of our approach since we outperform, in terms of computational cost and accuracy, the results of state-of-the-art methods on both face labeling and medical image segmentation.
dc.description.sponsorshipGeneralized Optimal Transport Models for Image processing - ANR-16-CE33-0010
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.subject.enPatch-based method
dc.subject.enPatchMatch
dc.subject.enLabeling
dc.subject.enSuperpixels
dc.subject.enSegmentation
dc.title.enSuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
dc.typeArticle de revue
dc.identifier.doi10.1109/TIP.2017.2708504
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
dc.subject.halInformatique [cs]/Imagerie médicale
dc.subject.halInformatique [cs]/Traitement des images
bordeaux.journalIEEE Transactions on Image Processing
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01432116
hal.version3
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01432116v3
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Image%20Processing&rft.date=2017&rft.eissn=1057-7149&rft.issn=1057-7149&rft.au=GIRAUD,%20R%C3%A9mi&TA,%20Vinh-Thong&BUGEAU,%20Aur%C3%A9lie&COUP%C3%89,%20Pierrick&PAPADAKIS,%20Nicolas&rft.genre=article


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