Geometric Feature Extraction by a Multi-Marked Point Process - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Pattern Analysis and Machine Intelligence Année : 2010

Geometric Feature Extraction by a Multi-Marked Point Process

Florent Lafarge
  • Fonction : Auteur
  • PersonId : 833647
Georgy Gimel'Farb
  • Fonction : Auteur
  • PersonId : 874052
Xavier Descombes

Résumé

This paper presents a new stochastic marked point process for describing images in terms of a finite library of geometric objects. Image analysis based on conventional marked point processes has already produced convincing results but at the expense of parameter tuning, computing time, and model specificity. Our more general multimarked point process has simpler parametric setting, yields notably shorter computing times, and can be applied to a variety of applications. Both linear and areal primitives extracted from a library of geometric objects are matched to a given image using a probabilistic Gibbs model, and a Jump-Diffusion process is performed to search for the optimal object configuration. Experiments with remotely sensed images and natural textures show that the proposed approach has good potential. We conclude with a discussion about the insertion of more complex object interactions in the model by studying the compromise between model complexity and efficiency.
Fichier principal
Vignette du fichier
pami_2010b.pdf (5.63 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00503140 , version 1 (28-01-2013)

Identifiants

Citer

Florent Lafarge, Georgy Gimel'Farb, Xavier Descombes. Geometric Feature Extraction by a Multi-Marked Point Process. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32 (9), ⟨10.1109/TPAMI.2009.152⟩. ⟨inria-00503140⟩
341 Consultations
759 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More