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Object recognition by matching symbolic edge graphs

Lourens, T. and Würtz, R.P. (1998) Object recognition by matching symbolic edge graphs. [Conference Paper]

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Abstract

We present an object recognition system based on symbolic graphs with object corners as vertices and outlines as edges. Corners are determined in a robust way by a multiscale combination of an operator modeling cortical end-stopped cells. Graphs are constructed by line-following between corners. Model matching is then done by finding subgraph isomorphisms in the image graph. The complexity is reduced by adding labels to corners and edges. The choice of labels makes the recognition system invariant under translation, rotation, and scaling.

Item Type:Conference Paper
Keywords:object recognition, graph matching, edge graph
Subjects:Computer Science > Artificial Intelligence
Computer Science > Complexity Theory
Computer Science > Machine Vision
Computer Science > Robotics
ID Code:505
Deposited By:Würtz, Rolf P.
Deposited On:31 Jul 1998
Last Modified:11 Mar 2011 08:54

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