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Graphing Objects

Objectif

This research proposal in the field of Computer Vision is concerned with the representation and recognition of objects in digital images or image sequences. The research objective of this proposal aims to the fundamental and interesting problem how reliable object representations can be learned in such a way that similar objects can be represented as a similar relational structure. Such a stable representation would dramatically improve the ability of algorithms to recognise objects in arbitrary environments. We believe that representing objects as graphs provides such a stable representation and that this converts the process of object recognition into a graph-matching problem. To achieve this aim we will cast the graph-matching problem into a thermodynamic framework. Then we will exploit research results in statistical physics to obtain a hierarchical graph representation and an appropriate graph- matching algorithm. The proposed research will enable the researcher to improve his expertise in computer vision and enables him to obtain complementary skills that will help him to pursue his long-term aim to build up his own computer vision research group.

Champ scientifique (EuroSciVoc)

Mots‑clés

Thème(s)

Appel à propositions

FP6-2005-MOBILITY-5
Voir d’autres projets de cet appel

Régime de financement

EIF - Marie Curie actions-Intra-European Fellowships

Coordinateur

DUBLIN CITY UNIVERSITY
Contribution de l’UE
Aucune donnée
Coût total
Aucune donnée