Titlebook: Handbook of Mathematical Models in Computer Vision; Nikos Paragios,Yunmei Chen,Olivier Faugeras Book 2006 Springer-Verlag US 2006 3D.3D gr

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Pulmonary-Veins

Total Variation Image Restoration: Overview and Recent Developmentsd successful methodology for image restoration. More recently, there has been a resurgence of interest and exciting new developments, some extending the applicabilities to impainting, blind deconvolution and vector-valued images, while others offer improvements in better preservation of contrast, ge

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PDE-Based Image and Surface Inpaintingerous, from the restoration of damaged paintings, photographs and films, to the removal of selected undesirable objects. This chapter is intended to present an overview of PDE based image inpainting algorithms, with emphasis in models developed by the authors. These models are based on the propagati

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Levelings: Theory and Practiceful in practice, except for binary images. For grey-tone images a more precise characterization has to he given in order to be operational. This leeds to the introduction of floodings, razings, flattenings and levelings. Extending the notion of a flat Zone and of a contour leads to extended connecte

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Graph Cuts in Vision and Graphics: Theories and Applicationstivated by one of the following two reasons. Firstly, graph-cuts allow geometric interpretation; under certain conditions a cut on a graph can be seen as a hypersurface in N-D space embedding the corresponding graph. Thus, many applications in vision and graphics use min-cut algorithms as a tool for

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Metamorphosis

Variational Segmentation with Shape Priorsn issues involved: representation of shape, use of perceptually plausible dissimilarity measures, Euclidean embedding of shapes, learning of shape appearance from examples, combining shape priors and variational approaches to segmentation. The overall approach enables the appearance-based segmentati

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