Fast High-Dimensional Filtering Using the Permutohedral Lattice - Eurographics 2010
Fast High-Dimensional Filtering Using the Permutohedral Lattice Eurographics 2010 Runner up for Best Paper We describe a method of quickly evaluating the type of Gauss transform used in bilateral filters, joint bilateral filters, non-local means, and related tasks. Other recent fast methods for doing this include the Bilateral Grid, and the Gaussian KD-Tree. The diagram above shows, for a wide ran
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krähenbühl Computer Science Department Stanford University philkr@cs.stanford.edu Vladlen Koltun Computer Science Department Stanford University vladlen@cs.stanford.edu Abstract Most state-of-the-art techniques for multi-class image segmentation and labeling use conditional random fields defined over pixels or imag
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