Development of an Incremental Graph Matching Device
The paper introduces a multi-process graph matching device. The behavior of the device is demonstrated as it matches a reference graph to an image sequence with elements that exhibit a changing scale and level of resolvable detail. The device uses analysis by synthesis to consume the graphs to be matched. For the present work these are formed by skeletal line segments, but it is pointed out that relational matching will be investigated in future work. The responsibilities of the 8 cooperating processes are described and a cycle in the matching is stepped through. The theoretical dangers of taking suboptimal matches are contrasted with the practical advantages of greatly reducing the search space. The need for recovery after accepting associations that later prove to be wrong is pointed out. Comments on the description of the convergence to a labeling in terms of Scott’s lattice theory are given.
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