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  • This paper presents an algorithm for estimating camera focal length from tentative matches in a pair of images, which works robustly in practical situations such as automatic computation of structure and camera motion from unknown photographs, e.g. from the web or from various instruments mounted on a vehicle. We extend the standard 6-pt algorithm based on the observations: (i) the quality of the estimation of this algorithm is strongly correlated with the ratio of the singular values of the essential matrix computed from inliers, which is calibrated by using the estimated focal length, returned by RANSAC and (ii) the reprojection error of the affine camera model, fit to the inliers, predicts the uncertainty in the estimated focal length. Furthermore, for scenes with dominant plane we propose a novel algorithm calculating relative orientation and unknown focal length given a plane homography and a single off the plane point correspondence. The performance of the proposed algorithm is demonstrated on a set of real images having different focal lengths.
  • This paper presents an algorithm for estimating camera focal length from tentative matches in a pair of images, which works robustly in practical situations such as automatic computation of structure and camera motion from unknown photographs, e.g. from the web or from various instruments mounted on a vehicle. We extend the standard 6-pt algorithm based on the observations: (i) the quality of the estimation of this algorithm is strongly correlated with the ratio of the singular values of the essential matrix computed from inliers, which is calibrated by using the estimated focal length, returned by RANSAC and (ii) the reprojection error of the affine camera model, fit to the inliers, predicts the uncertainty in the estimated focal length. Furthermore, for scenes with dominant plane we propose a novel algorithm calculating relative orientation and unknown focal length given a plane homography and a single off the plane point correspondence. The performance of the proposed algorithm is demonstrated on a set of real images having different focal lengths. (en)
Title
  • The six point algorithm revisited
  • The six point algorithm revisited (en)
skos:prefLabel
  • The six point algorithm revisited
  • The six point algorithm revisited (en)
skos:notation
  • RIV/68407700:21230/11:00192159!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E09062), S, 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
  • 229609
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00192159
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • focal length; 6-pt algorithm; RANSAC (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0B4A73844E36]
http://linked.open...v/mistoKonaniAkce
  • Queenstown
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Computer Vision - ACCV 2010 Workshops, Revised Selected Papers, Part II
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
  • Torii, A.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-22818-6
http://localhost/t...ganizacniJednotka
  • 21230
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