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Interactive graph matching by means of imposing the pairwise costs

机译:通过施加成对成本进行交互式图匹配

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We present a method to perform graph matching in which the human can interact and impose part of the graph labelling. Humans are very good at finding the correspondences between parts of two images but finding these correspondences is one of the most difficult tasks in pattern recognition. Through simple actions such as impose a node labelling or consider a node labelling is not correct; the user helps the automatic graph-matching algorithm to decide a labelling that is closer to the one that the human desires. This interaction is done through the modification of the initial pairwise costs. The method is independent on the graph-matching algorithm. Practical evaluation, in which the Graduated Assignment has been used, shows that with few interactions, the algorithm arrives at the ideal labelling.
机译:我们提出一种执行图匹配的方法,其中人类可以进行交互并强加图标签的一部分。人类非常擅长找到两个图像之间的对应关系,但是找到这些对应关系是模式识别中最困难的任务之一。通过简单的操作,例如强加节点标签或认为节点标签不正确;用户可以帮助自动图形匹配算法来确定更接近人类期望的标签。这种相互作用是通过修改初始成对成本来完成的。该方法独立于图匹配算法。使用分级分配的实际评估表明,在很少的交互作用下,该算法可以达到理想的标记。

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