Model based Recognition of 2 D Objects in Perspective


We report on a case study showing that using symbolic descriptions to recognize objects in per spective images delivers similar results as heuristic or statistical methods. The knowledge is modeled in TGraphs which are typed, attributed, and ordered directed graphs. We combined the search in the state space with a maximum weight bipartite graph matching and… (More)


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