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7 June 1996 Automatic induction of relational models
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Abstract
The problem of shape recognition is studied through the use of relational models based on the hypergraph representation and the context similarity measure. Formal definitions are introduced and graph properties are calculated important to the matching process. A conflict is shown to exist between the interclass distance and the semantical distance between the vertices within a model. The representation is extended with the notion of vertex neighborhood, which increases the semantical distance and makes the processing of complex scenes feasible.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sidharta Gautama and Johannes P.F. D'Haeyer "Automatic induction of relational models", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); https://doi.org/10.1117/12.242013
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