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- W47026586 abstract "Publisher Summary This chapter examines the problem of structural pattern recognition using graph structures. To speed up the correspondence problem, the chapter proposes a histogram technique which characterizes the context of a primitive within a pattern and allows indexing in the model database with polynomial complexity. The chapter presents a new iterative matching technique based on a histogram of structural context information. Experiments show a good noise suppressing ability while retaining adequate recognition results with minimal false alarms. Because scene primitives are structurally mapped onto the model, orientation and scale can be hypothesized from a match, whereas the model can be used to direct a search for missing information, thereby improving or ignoring the match. This will be the subject for further work." @default.
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- W47026586 date "1996-01-01" @default.
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- W47026586 title "Context driven matching in structural pattern recognition" @default.
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- W47026586 doi "https://doi.org/10.1016/b978-044482587-2/50145-2" @default.
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