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Object recognition by matching symbolic edge graphs
Object recognition by matching symbolic edge graphs (Postscript)
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.
1998
Object recognition by matching symbolic edge graphs
Artificial Intelligence
Complexity Theory
Machine Vision
Robotics
Springer
Chin
R.
R. Chin
Würtz
R.P.
R.P. Würtz
Lourens
T.
T. Lourens
Pong
T.
T. Pong