Image Retrieval Using Local Characterization

Cordelia Schmid 1 Roger Mohr 1
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 : The paper presents a general method to retrieve images from large databases using images as queries. The method is based on local characteristics which are robust to the group of similarity transformations in the image. Images can be retrieved even if they are translated, rotated or scaled. Due to the locality of the characterization, images can be retrieved even if only a small part of the image is given as well as in the presence of occlusions. A voting algorithm, following the idea of a Hough transform, and semi local constraints allow us to develop a new method which is robust to noise, to scene clutter and small perspective deformations. Experiments show an efficient recognition for different types of images. The approach has been validated on an image database containing 1020 images, some of them being very similar by structure, texture or shape.
Type de document :
Communication dans un congrès
International Conference on Image Processing (ICIP '96)), Sep 1996, Lausanne, Switzerland. IEEE Computer society, I, pp.781--784, 1996, 〈10.1109/ICIP.1996.561020〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00548367
Contributeur : Thoth Team <>
Soumis le : mardi 31 mai 2011 - 12:07:39
Dernière modification le : mercredi 11 avril 2018 - 01:54:25
Document(s) archivé(s) le : vendredi 2 décembre 2016 - 17:49:32

Fichier

00561020_1.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

IMAG | INRIA | UGA

Citation

Cordelia Schmid, Roger Mohr. Image Retrieval Using Local Characterization. International Conference on Image Processing (ICIP '96)), Sep 1996, Lausanne, Switzerland. IEEE Computer society, I, pp.781--784, 1996, 〈10.1109/ICIP.1996.561020〉. 〈inria-00548367〉

Partager

Métriques

Consultations de la notice

259

Téléchargements de fichiers

175