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Synchronization Over the Birkhoff Polytope for Multi-graph Matching

机译:Birkhoff多面体上的同步用于多图匹配

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In this paper we address the problem of simultaneously matching multiple graphs imposing cyclic or transitive consistency among the correspondences. This is obtained through a synchronization process that projects doubly-stochastic matrices onto a consistent set. We overcome the lack of group structure of the Birkhoff polytope, i.e., the space of doubly-stochastic matrices, by making use the Birkhoff-Von Neumann theorem stating that any doubly-stochastic matrix can be seen as the expectation of a distribution over the permutation matrices, and then cast the synchronization problem as one over the underlying permutations. This allows us to transform any graph-matching algorithm working on the Birkhoff polytope into a multi-graph matching algorithm. We evaluate the performance of two classic graph matching algorithms in their synchronized and un-synchronized versions with a state-of-the-art multi-graph matching approach, showing that synchronization can yield better and more robust matches.
机译:在本文中,我们解决了同时匹配多个图的问题,这些图在对应关系之间施加了循环或传递一致性。这是通过将双随机矩阵投影到一致集合上的同步过程获得的。通过使用Birkhoff-Von Neumann定理,我们指出任何双随机矩阵都可以看作是对置换分布的期望,从而克服了Birkhoff多面体的群结构(即双随机矩阵的空间)的缺乏的问题。矩阵,然后将同步问题转换为基础排列中的一个。这使我们能够将任何在Birkhoff多面体上工作的图匹配算法转换为多图匹配算法。我们使用最新的多图匹配方法评估了两种经典图匹配算法在其同步和非同步版本中的性能,表明同步可以产生更好,更可靠的匹配。

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