Exemplar-based image inpainting using an affine invariant similarity measure

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  • dc.contributor.author Fedorov, Vadim
  • dc.contributor.author Arias Martínez, Pablo
  • dc.contributor.author Facciolo Furlan, Gabriele
  • dc.contributor.author Ballester, Coloma
  • dc.date.accessioned 2023-04-27T06:18:14Z
  • dc.date.available 2023-04-27T06:18:14Z
  • dc.date.issued 2016
  • dc.description Comunicació presentada a 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), celebrat del 27 al 29 de febrer de 2016 a Roma, Itàlia.
  • dc.description.abstract Patch-based approaches are used in state-of-the-art methods for image inpainting. This paper presents a new method for exemplar-based image inpainting using transformed patches. The transformation is determined for each patch in a fully automatic way from a surrounding texture content. We build upon a recent affine invariant patch similarity measure that performs an appropriate patch comparison by automatically adapting the size and shape of the patches. As a consequence, it intrinsically extends the set of available source patches to copy information from. We incorporate this measure into a variational formulation for inpainting and present a numerical algorithm for optimizing it. We show that our method can be applied to complete a perspectively distorted texture as well as to automatically inpaint one view of a scene using other view of the same scene as a source. We present experimental results both for gray and color images, and a comparison with some exemplar-based image inpainting methods.
  • dc.description.sponsorship The first, second and fourth authors acknowledge partial support by the MINECO/FEDER project with reference TIN2015-70410-C2-1-R , the MICINN project with reference MTM2012- 30772, and by GRC reference 2014 SGR 1301, Generalitat de Catalunya. The second and third authors were partly founded by the Centre National dEtudes Spatiales (CNES, MISS Project), BPIFrance and R´egion Ile de France, in the framework of the FUI 18 Plein Phare project, the European Research Council (advanced grant Twelve Labours n246961), the Office of Naval research (ONR grant N00014-14-1-0023), and ANRDGA project ANR-12-ASTR-0035.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Fedorov V, Arias P, Facciolo G, Ballester C. Exemplar-based image inpainting using an affine invariant similarity measure. In: Braz J, Magnenat-Thalmann N, Richard P, Linsen L, Telea A, Battiato S, Imai F. Computer Vision, Imaging and Computer Graphics Theory and Applications. 11th International Joint Conference, VISIGRAPP: International Joint Conference on Computer Vision, Imaging and Computer Graphics; 2016 Feb 27-29; Rome, Italy. Cham: Springer; 2016. p. 454-74. DOI: 10.1007/978-3-319-64870-5_22
  • dc.identifier.doi http://dx.doi.org/10.1007/978-3-319-64870-5_22
  • dc.identifier.isbn 978-3-319-64869-9
  • dc.identifier.uri http://hdl.handle.net/10230/56594
  • dc.language.iso eng
  • dc.publisher Springer
  • dc.relation.ispartof Braz J, Magnenat-Thalmann N, Richard P, Linsen L, Telea A, Battiato S, Imai F. Computer Vision, Imaging and Computer Graphics Theory and Applications. 11th International Joint Conference, VISIGRAPP: International Joint Conference on Computer Vision, Imaging and Computer Graphics; 2016 Feb 27-29; Rome, Italy. Cham: Springer; 2016. p. 454-74.
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-70410-C2-1-R
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/MTM2012-30772
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/246961
  • dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-64870-5_22
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Affine Invariance
  • dc.subject.keyword Exemplar-based Image Inpainting
  • dc.subject.keyword Source Patch
  • dc.subject.keyword Inpainting Domain
  • dc.subject.keyword Covalent Affinity
  • dc.title Exemplar-based image inpainting using an affine invariant similarity measure
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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