How to Overcome Perceptual Aliasing in ASIFT? - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

How to Overcome Perceptual Aliasing in ASIFT?

Résumé

SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest between two images subject to a large viewpoint change, then only a few, if any, common points will be retrieved. This may lead subsequent algorithms to failure, especially when considering structure and motion or object recognition problems. Reaching at least affine invariance is crucial for reliable point correspondences. Successful approaches have been recently proposed by several authors to strengthen scale+rotation invariance into affine invariance, using viewpoint simulation (e.g. the ASIFT algorithm). However, almost all resulting algorithms fail in presence of repeated patterns, which are common in man-made environments, because of the so-called perceptual aliasing. Focusing on ASIFT, we show how to overcome the perceptual aliasing problem. To the best of our knowledge, the resulting algorithm performs better than any existing generic point matching procedure.
Fichier principal
Vignette du fichier
NourySurBergerISVC10.pdf (635.78 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00515375 , version 1 (06-09-2010)

Identifiants

Citer

Nicolas Noury, Frédéric Sur, Marie-Odile Berger. How to Overcome Perceptual Aliasing in ASIFT?. 6th International Symposium on Visual Computing - ISVC 2010, Nov 2010, Las Vegas, United States. pp.231-242, ⟨10.1007/978-3-642-17289-2_23⟩. ⟨inria-00515375⟩
506 Consultations
417 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More