HYPER: a new approach for the recognition and positioning of 2D objects

Nicholas Ayache 1, * Olivier Faugeras 1, *
* Auteur correspondant
1 ROBOTVIS - Computer Vision and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and recursive evaluation of hypotheses named HYPER (HYpotheses Predicted and Evaluated Recursively). The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatk picking and repositioning of partially overlapping industrial parts.
Type de document :
Article dans une revue
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1986, 8 (1), pp.44-54. 〈10.1109/TPAMI.1986.4767751〉
Liste complète des métadonnées

Littérature citée [24 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00615534
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 16:44:43
Dernière modification le : jeudi 11 janvier 2018 - 16:36:59
Document(s) archivé(s) le : vendredi 25 novembre 2011 - 11:36:15

Fichier

Ayache-Faugeras-Pami86.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Nicholas Ayache, Olivier Faugeras. HYPER: a new approach for the recognition and positioning of 2D objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1986, 8 (1), pp.44-54. 〈10.1109/TPAMI.1986.4767751〉. 〈inria-00615534〉

Partager

Métriques

Consultations de la notice

167

Téléchargements de fichiers

523