Supplementary Material Accompanying ‘Geometry Driven Semantic Labeling of Indoor Scenes’
نویسندگان
چکیده
In this appendix, we will show how the higher order energy potentials can be minimized using graph cuts. Since, graph cuts can efficiently minimize submodular functions, we will transform our higher order energy function (Eq. 9) to a submodular second order energy function. For the case of both αβ-swap and αexpansion move making algorithms, we will explain this transformation and the process of optimal moves computation. All of the previously defined notations are used in the same context and all of the newly introduced symbols are defined in this section. The function that accounts for the number of disagreeing nodes in a clique is defined as: n`(yc) = ∑
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