Title :
Modelling and recognising 3D-objects described by multiple views using function-described graphs
Author :
Serratosa, Francesc ; Sanfeliu, Alberto ; Alquézar, René
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.
Keywords :
graph theory; image classification; image representation; object recognition; probability; 3D-object modeling; 3D-object recognition; antagonism relations; attributed adjacency graphs; classification process run time; existence relations; function-described graphs; multiple views; object recognition ratio; object representation; occurrence relations; second-order joint probabilities; topologically different 2D-views; Computational efficiency; Costs; Data mining; Data structures; Distributed computing; Object recognition; Probability distribution; Random variables;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048257
