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Description
  • In this paper we aim at reconstructing 3D scenes from images with unknown focal lengths downloaded from photosharing websites such as Flickr. First we provide a minimal solution to finding the relative pose between a completely calibrated camera and a camera with an unknown focal length given six point correspondences. We show that this problem has up to nine solutions in general and present two efficient solvers to the problem. They are based on Groebner basis, resp. on generalized eigenvalues, computation. We demonstrate by experiments with synthetic and real data that both solvers are correct, fast, numerically stable and work well even in some situations when the classical 6-point algorithm fails, e.g. when optical axes of the cameras are parallel or intersecting. Based on this solution we present a new efficient method for large-scale structure from motion from unordered data sets downloaded from the Internet. We show that this method can be effectively used to reconstruct 3D scen
  • In this paper we aim at reconstructing 3D scenes from images with unknown focal lengths downloaded from photosharing websites such as Flickr. First we provide a minimal solution to finding the relative pose between a completely calibrated camera and a camera with an unknown focal length given six point correspondences. We show that this problem has up to nine solutions in general and present two efficient solvers to the problem. They are based on Groebner basis, resp. on generalized eigenvalues, computation. We demonstrate by experiments with synthetic and real data that both solvers are correct, fast, numerically stable and work well even in some situations when the classical 6-point algorithm fails, e.g. when optical axes of the cameras are parallel or intersecting. Based on this solution we present a new efficient method for large-scale structure from motion from unordered data sets downloaded from the Internet. We show that this method can be effectively used to reconstruct 3D scen (en)
Title
  • 3D reconstruction from image collections with a single known focal length
  • 3D reconstruction from image collections with a single known focal length (en)
skos:prefLabel
  • 3D reconstruction from image collections with a single known focal length
  • 3D reconstruction from image collections with a single known focal length (en)
skos:notation
  • RIV/68407700:21230/09:00163114!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E09062), Z(MSM6840770038)
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
  • 353910
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00163114
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D reconstruction; minimal problem; epipolar geometry (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5AADF8F4DC14]
http://linked.open...v/mistoKonaniAkce
  • Kyoto
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • 2009 IEEE 12th International Conference on Computer Vision
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bujňák, Martin
  • Kúkelová, Zuzana
  • Pajdla, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000294955300232
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1550-5499
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society Press
https://schema.org/isbn
  • 978-1-4244-4419-9
http://localhost/t...ganizacniJednotka
  • 21230
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