Visual Place Recognition with Repetitive Structures

Akihiko Torii 1, * Josef Sivic 2, 3 Masatoshi Okutomi 1 Tomas Pajdla 4
* Auteur correspondant
1 TITECH - Tokyo Institute of Technology [Tokyo]
2 WILLOW - Models of visual object recognition and scene understanding
DI-ENS - Département d'informatique de l'École normale supérieure, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8548
3 LIENS - Laboratoire d'informatique de l'école normale supérieure
4 Department of Cybernetics [Prague]
Abstract : Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard for establishing correspondences using multi-view geometry. They violate the feature independence assumed in the bag-of-visual-words representation which often leads to over-counting evidence and significant degradation of retrieval performance. In this work we show that repeated structures are not a nuisance but, when appropriately represented, they form an important distinguishing feature for many places. We describe a representation of repeated structures suitable for scalable retrieval and geometric verification. The retrieval is based on robust detection of repeated image structures and a suitable modification of weights in the bag-of-visual-word model. We also demonstrate that the explicit detection of repeated patterns is beneficial for robust visual word matching for geometric verification. Place recognition results are shown on datasets of street-level imagery from Pittsburgh and San Francisco demonstrating significant gains in recognition performance compared to the standard bag-of-visual-words baseline as well as the more recently proposed burstiness weighting and Fisher vector encoding.
Keywords : Image Retrieval Place Recognition Bag of Visual Words Geometric Verification
Type de document :
Article dans une revue
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2015, pp.1-14. 〈10.1109/TPAMI.2015.2409868〉
Liste complète des métadonnées

Littérature citée [59 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01152483
Contributeur : Josef Sivic <>
Soumis le : dimanche 17 mai 2015 - 21:48:54
Dernière modification le : vendredi 25 mai 2018 - 12:02:06
Document(s) archivé(s) le : mardi 15 septembre 2015 - 01:12:32

Fichier

Torii15a.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

ENS-PARIS | INRIA | PSL | INRIA-ROCQ

Citation

Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla. Visual Place Recognition with Repetitive Structures. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2015, pp.1-14. 〈10.1109/TPAMI.2015.2409868〉. 〈hal-01152483〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

3538

Téléchargements de fichiers

290

Contact


archive-ouverte@inria.fr