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The Cartographer
Function-Described Graphs for Structural Pattern Recognition
May 10, 2016 Β· Declared Dead Β· π arXiv.org
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Authors
Francesc Serratosa
arXiv ID
1605.02929
Category
cs.AI: Artificial Intelligence
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
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.
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