@inproceedings{Torii-CVPR-2013,
  IS = { zkontrolovano 25 Jan 2014 },
  UPDATE  = { 2014-01-20 },
  author = {Torii, Akihiko and {\v S}ivic, Josef and Okutomi, Masatoshi and Pajdla, Tom{\' a}{\
v s}},
  title = {Visual Place Recognition with Repetitive Structures},
  booktitle = {CVPR: 2013 IEEE Computer Society Conference on Computer 
    Vision and Pattern Recognition},
  book_pages = {3735},
  pages = {883--890},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, USA},
  %isbn = {978-0-7695-4989-7},
  issn = {1063-6919},
  doi = {10.1109/CVPR.2013.119},
  year = {2013},
  month = {June},
  day = {25-27},
  venue = {Portland, OR, US},
  annote = {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.},
  keywords = {image based localization, repetitive structures, image retrieval, bag of visual 
wirds},
  prestige = {important},
  note = {CD-ROM},
  psurl = {[Torii-CVPR-2013.pdf]},
  authorship =  {25-25-25-25},
  project = {FP7-SME-2011-285839 De-Montes},
}