Titlebook: Computer Vision – ECCV 2012; 12th European Confer Andrew Fitzgibbon,Svetlana Lazebnik,Cordelia Schmi Conference proceedings 2012 Springer-V

gene-therapy

Continuous Markov Random Fields for Robust Stereo Estimationunctions are physically possible. Our approach outperforms the state-of-the-art on Middlebury high resolution imagery [1] as well as in the more challenging KITTI dataset [2], while being more efficient than existing slanted plane MRF methods, taking on average 2 minutes to perform inference on high resolution imagery.

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vertebrate

Diverse M-Best Solutions in Markov Random Fieldssituations, one could benefit from additional high-probability solutions. Current methods for computing the . most probable configurations produce solutions that tend to be very similar to the MAP solution and each other. This is often an undesirable property. In this paper we propose an algorithm f

喃喃诉苦

Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAPing submodularity. The algorithm runs in time .(2...) in the worst case (. is clique order and . is the number of pixels). A special gadget is introduced to model flows in a high order clique and a technique for building a flow graph is specified. Based on the primal dual structure of the optimizati

Capitulate

conspicuous

Continuous Markov Random Fields for Robust Stereo Estimatione of inference in a hybrid MRF composed of both continuous (i.e., slanted 3D planes) and discrete (i.e., occlusion boundaries) random variables. This allows us to define potentials encoding the ownership of the pixels that compose the boundary between segments, as well as potentials encoding which j

exquisite

幻影

Patch Complexity, Finite Pixel Correlations and Optimal Denoisingactual priors are only approximate and typically restricted to small patches. This raises several questions: How much may we hope to improve current restoration results with future sophisticated algorithms? And more fundamentally, even with perfect knowledge of natural image statistics, what is the

秘密会议

Guaranteed Ellipse Fitting with the Sampson Distancey. Currently, practitioners must choose between algebraic methods that guarantee an ellipse fit but exhibit high bias, and geometric methods that are less biased but may no longer guarantee an ellipse solution. We address this limitation by proposing a method that strikes a balance between these two

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