Publication

Function-described graphs for modelling objects represented by attributed graphs

Journal Article (2003)

Journal

Pattern Recognition

Pages

781-798

Volume

36

Number

3

Doc link

http://dx.doi.org/10.1016/S0031-3203(02)00107-3

File

Download the digital copy of the doc pdf document

Abstract

We present in this article the model function-described graph (FDG), which is a type of compact representation of a set of attributed graphs (AGs) that borrow from random graphs the capability of probabilistic modelling of structural and attribute information. We define the FDGs, their features and two distance measures between AGs (unclassified patterns) and FDGs (models or classes) and we also explain an efficient matching algorithm. Two applications of FDGs are presented: in the former, FDGs are used for modelling and matching 3D-objects described by multiple views, whereas in the latter, they are used for representing and recognising human faces, described also by several views.

Categories

pattern recognition.

Author keywords

attributed graphs, error-tolerant graph matching, function-described graphs, random graphs, clustering, synthesis, 3d-object recognition and face identification

Scientific reference

F. Serratosa, R. Alquézar Mancho and A. Sanfeliu. Function-described graphs for modelling objects represented by attributed graphs. Pattern Recognition, 36(3): 781-798, 2003.