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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Time Discrete Extrapolation in a Riemannian Space of Images
verfasst von : Alexander Effland, Martin Rumpf, Florian Schäfer
Erschienen in: Scale Space and Variational Methods in Computer Vision
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Abstract
The Riemannian metamorphosis model introduced and analyzed in [7, 12] is taken into account to develop an image extrapolation tool in the space of images. To this end, the variational time discretization for the geodesic interpolation proposed in [2] is picked up to define a discrete exponential map. For a given weakly differentiable initial image and a sufficiently small initial image variation it is shown how to compute a discrete geodesic extrapolation path in the space of images. The resulting discrete paths are indeed local minimizers of the corresponding discrete path energy. A spatial Galerkin discretization with cubic splines on coarse meshes for image deformations and piecewise bilinear finite elements on fine meshes for image intensity functions is used to derive a fully practical algorithm. The method is applied to real images and image variations recorded with a digital camera.