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dc.contributor.authorKaufmann, Peteren_US
dc.contributor.authorWang, Oliveren_US
dc.contributor.authorSorkine-Hornung, Alexanderen_US
dc.contributor.authorSorkine-Hornung, Olgaen_US
dc.contributor.authorSmolic, Aljoschaen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.editorI. Navazo, P. Poulinen_US
dc.date.accessioned2015-02-28T15:21:11Z
dc.date.available2015-02-28T15:21:11Z
dc.date.issued2013en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12023en_US
dc.description.abstractWe introduce a single unifying framework for a wide range of content-aware image warping tasks using a finite element method (FEM). Existing approaches commonly define error terms over vertex finite differences and can be expressed as a special case of our general FEM model. In this work, we exploit the full generality of FEMs, gaining important advantages over prior methods. These advantages include arbitrary mesh connectivity allowing for adaptive meshing and efficient large-scale solutions, a well-defined continuous problem formulation that enables clear analysis of existing warping error functions and allows us to propose improved ones, and higher order basis functions that allow for smoother warps with fewer degrees of freedom. To support per-element basis functions of varying degree and complex mesh connectivity with hanging nodes, we also introduce a novel use of discontinuous Galerkin FEM. We demonstrate the utility of our method by showing examples in video retargeting and camera stabilization applications, and compare our results with previous state of the art methods.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleFinite Element Image Warpingen_US
dc.description.seriesinformationComputer Graphics Forumen_US


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