creators_name: Lourens, T.
creators_name: Würtz, R.P.
editors_name: Chin, R.
editors_name: Pong, T.
type: confpaper
datestamp: 1998-07-31
lastmod: 2011-03-11 08:54:00
metadata_visibility: show
title: Object recognition by matching symbolic edge graphs
ispublished: pub
subjects: comp-sci-art-intel
subjects: comp-sci-complex-theory
subjects: comp-sci-mach-vis
subjects: comp-sci-robot
full_text_status: public
keywords: object recognition, graph matching, edge graph
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.
date: 1998
date_type: published
publisher: Springer
pagerange: 193-200
refereed: FALSE
citation:   Lourens, T. and Würtz, R.P.  (1998) Object recognition by matching symbolic edge graphs.  [Conference Paper]     
document_url: http://cogprints.org/505/2/rolf-accv98.ps