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  • The goal of visual-based localization is to retrieve images from a large geotagged image database depicting the same place as a given query photograph. In this report we present system for building a geotagged dataset for place recognition utilizing publically available data from Google Streetview. Second part of this report investigates whether suppressing malicious features in the database images can be cast as learning local per-image distance functions. We demonstrate that finding such local distance functions can be formulated as a linear program and perform initial experiments on a database of 17k street view images of Paris.
  • The goal of visual-based localization is to retrieve images from a large geotagged image database depicting the same place as a given query photograph. In this report we present system for building a geotagged dataset for place recognition utilizing publically available data from Google Streetview. Second part of this report investigates whether suppressing malicious features in the database images can be cast as learning local per-image distance functions. We demonstrate that finding such local distance functions can be formulated as a linear program and perform initial experiments on a database of 17k street view images of Paris. (en)
Title
  • Visual Localization
  • Visual Localization (en)
skos:prefLabel
  • Visual Localization
  • Visual Localization (en)
skos:notation
  • RIV/68407700:21230/12:00200592!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
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  • S
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  • 177565
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  • RIV/68407700:21230/12:00200592
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  • Visual based localization; geotagged dataset; learnig local distance function (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6CB1B5B5D8BE]
http://linked.open...in/vavai/riv/obor
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  • Gronát, Petr
http://localhost/t...ganizacniJednotka
  • 21230
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