Toward a generic framework for recognition based on uncertain geometric features

Xavier Pennec 1, *
* Auteur correspondant
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The recognition problem is probably one of the most studied in computer vision. However, most techniques were developed on point features and were not designed to cope explicitly with uncertainty in measurements. The aim of this paper is to formulate recognition algorithms explicitly in terms of uncertain geometric features (such as points, lines, oriented points or frames). In the first part we review the principal matching algorithms and adapt them to work with generic geometric features. Then we analyze how to handle uncertainty on geometric features and the influence it has on the matching algorithms. Last but not least, we analyse four key problems for the implementation of these generic algorithms. Key Words: 3D Object Recognition, Invariants of 3D objects. 1 Introduction The recognition problem is probably one of the most studied in computer vision (see for instance [BJ85, CD86]) and many algorithms were developed to compare two images or to recognize objects with an a prior...
Type de document :
Article dans une revue
Videre: Journal of Computer Vision Research, Massachusetts Institute of Technology Press (MIT Press), 1998, 1 (2), pp.58--87
Liste complète des métadonnées

Littérature citée [40 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00615090
Contributeur : Project-Team Asclepios <>
Soumis le : mercredi 17 août 2011 - 23:35:09
Dernière modification le : samedi 27 janvier 2018 - 01:31:33
Document(s) archivé(s) le : vendredi 25 novembre 2011 - 11:33:07

Fichier

v1n2003.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00615090, version 1

Collections

Citation

Xavier Pennec. Toward a generic framework for recognition based on uncertain geometric features. Videre: Journal of Computer Vision Research, Massachusetts Institute of Technology Press (MIT Press), 1998, 1 (2), pp.58--87. 〈inria-00615090〉

Partager

Métriques

Consultations de la notice

160

Téléchargements de fichiers

111