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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; 8th International Co Yuri Boykov,Fredrik Kahl,Frank R. Schmidt Conf

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Conference proceedings 2011tion, EMMCVPR 2011, held in St. Petersburg, Russia in July , 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continuous optimization, segmentation, motion and video, learning and shape analysis.
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Curvature Regularization for Curves and Surfaces in a Global Optimization Framework and experimental viewpoint and hexagonal meshes are shown to be superior. We demonstrate that adaptively generated meshes significantly improve the performance. Our final contribution is that we generalize the framework to handle mean curvature regularization for 3D surface completion and segmentation.
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SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction Graph corresponds to the maximum flow/minimum cut of the original graph. Experiments on image segmentation show that using our graph simplification leads to significant speedup and memory reduction of the labeling problem. Thus large-scale labeling problems can be solved in an efficient manner even on resource-limited systems.
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Temporally Consistent Gradient Domain Video Editingonsistent video editing, based on Poisson and total variation type formulations, respectively. We apply these models to three video editing tasks: inpainting correction, object insertion and object removal.
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