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Proceedings Paper

Automatic induction of relational models
Author(s): Sidharta Gautama; Johannes P.F. D'Haeyer
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Paper 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.

Paper Details

Date Published: 7 June 1996
PDF: 11 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242013
Show Author Affiliations
Sidharta Gautama, Univ. Gent (Belgium)
Johannes P.F. D'Haeyer, Univ. Gent (Belgium)


Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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