Using Quasi-Invariants for Automatic Model Building and Object Recognition: An Overview

Patrick Gros 1, 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We address the problem of automatic model building for further recognition of objects. Our initial data are a set of images of an object. In a first stage, these images are put into correspondence using quasi-invariants, epipolar geometry and an approximation of the apparent motion by an homography. The different aspects of the objects may thus be computed and each aspect gives raise to a partial model of the object. In a second stage, these models and indexed in a data base which is used for recognition. This work is based on the idea that aspect graphs may (should?) be learned from examples rather than computed from CAD models, and that a planar representation associated with geometric quasi-invariants is a relevant tool for object recognition.
Type de document :
Communication dans un congrès
Martial Hebert and Jean Ponce and Terrance E. Boult, Ari D. Gross. NSF-ARPA Workshop on Object Representations in Computer Vision, Dec 1994, New York, United States. Springer-Verlag, 994, pp.65-76, 1995, Lecture Notes in Computer Science (LNCS). 〈10.1007/3-540-60477-4_4〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00590030
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:09:44
Dernière modification le : mercredi 11 avril 2018 - 01:54:32
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 10:20:43

Fichier

gros94using.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IMAG | INRIA | UGA

Citation

Patrick Gros. Using Quasi-Invariants for Automatic Model Building and Object Recognition: An Overview. Martial Hebert and Jean Ponce and Terrance E. Boult, Ari D. Gross. NSF-ARPA Workshop on Object Representations in Computer Vision, Dec 1994, New York, United States. Springer-Verlag, 994, pp.65-76, 1995, Lecture Notes in Computer Science (LNCS). 〈10.1007/3-540-60477-4_4〉. 〈inria-00590030〉

Partager

Métriques

Consultations de la notice

122

Téléchargements de fichiers

55