Finite Element Image Warping
Peter Kaufmann (Disney Research Zurich)
Oliver Wang (Disney Research Zurich)
Alexander Sorkine-Hornung (Disney Research Zurich)
Olga Sorkine-Hornung (ETH Zurich)
Aljoscha Smolic (Disney Research Zurich)
Markus Gross (Disney Research Zurich)
May 6, 2013
We 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.
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