About: Visual Place Recognition with Repetitive Structures     Goto   Sponge   NotDistinct   Permalink

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  • Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard fo restablishing correspondences using multi-view geometry. Even more importantly, 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 fo rm an important distinguishing feature for many places. We describe a representation of repeat ed structures suitable for scalable retrieval. It is based on robust detection of repeated ima ge structures and a simple modification of weights in the bag-of-visual-word model. Place reco gnition results are shown on datasets of street-level imagery from Pittsburgh and San Francisc o demonstrating significant gains in recognition performance compared to the standard bag-of-v isual-words baseline and more recently proposed burstiness weighting.
  • Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard fo restablishing correspondences using multi-view geometry. Even more importantly, 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 fo rm an important distinguishing feature for many places. We describe a representation of repeat ed structures suitable for scalable retrieval. It is based on robust detection of repeated ima ge structures and a simple modification of weights in the bag-of-visual-word model. Place reco gnition results are shown on datasets of street-level imagery from Pittsburgh and San Francisc o demonstrating significant gains in recognition performance compared to the standard bag-of-v isual-words baseline and more recently proposed burstiness weighting. (en)
Title
  • Visual Place Recognition with Repetitive Structures
  • Visual Place Recognition with Repetitive Structures (en)
skos:prefLabel
  • Visual Place Recognition with Repetitive Structures
  • Visual Place Recognition with Repetitive Structures (en)
skos:notation
  • RIV/68407700:21230/13:00212578!RIV14-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • R
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 114194
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00212578
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image based localization; repetitive structures; image retrieval; bag of visual wirds (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [879BAF56C91C]
http://linked.open...v/mistoKonaniAkce
  • OR
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • CVPR: 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pajdla, Tomáš
  • Torii, Akihiko
  • Šivic, J.
  • Okutomi, M.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1063-6919
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CVPR.2013.119
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society Press
http://localhost/t...ganizacniJednotka
  • 21230
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