Abstract:
In this paper we study the application of Function-Described Graphs (FDGs) for 3D-object modeling and recognition. From a set of topologically different 2D-views taken of...Show MoreMetadata
Abstract:
In this paper we study the application of Function-Described Graphs (FDGs) for 3D-object modeling and recognition. From a set of topologically different 2D-views taken of an object, FDGs are synthesized from the attributed adjacency graphs that are extracted for each view. It is shown that, by keeping in the object representation (an FDG) qualitative information of the second-order joint probabilities between vertices, the object recognition ratio increases while the run time of the classification process decreases.
Published in: 2002 International Conference on Pattern Recognition
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651