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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F11%3A00192159%21RIV12-MSM-21230___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
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.
dcterms:title
The six point algorithm revisited The six point algorithm revisited
skos:prefLabel
The six point algorithm revisited The six point algorithm revisited
skos:notation
RIV/68407700:21230/11:00192159!RIV12-MSM-21230___
n6:predkladatel
n18:orjk%3A21230
n4:aktivita
n10:Z n10:S n10:P
n4:aktivity
P(7E09062), S, Z(MSM6840770038)
n4:dodaniDat
n13:2012
n4:domaciTvurceVysledku
n12:6245269 Kúkelová, Zuzana Bujňák, Martin
n4:druhVysledku
n17:D
n4:duvernostUdaju
n8:S
n4:entitaPredkladatele
n20:predkladatel
n4:idSjednocenehoVysledku
229609
n4:idVysledku
RIV/68407700:21230/11:00192159
n4:jazykVysledku
n16:eng
n4:klicovaSlova
focal length; 6-pt algorithm; RANSAC
n4:klicoveSlovo
n5:6-pt%20algorithm n5:RANSAC n5:focal%20length
n4:kontrolniKodProRIV
[0B4A73844E36]
n4:mistoKonaniAkce
Queenstown
n4:mistoVydani
Berlin
n4:nazevZdroje
Computer Vision - ACCV 2010 Workshops, Revised Selected Papers, Part II
n4:obor
n9:JD
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
4
n4:projekt
n19:7E09062
n4:rokUplatneniVysledku
n13:2011
n4:tvurceVysledku
Bujňák, Martin Kúkelová, Zuzana Pajdla, Tomáš Torii, A.
n4:typAkce
n14:WRD
n4:zahajeniAkce
2010-11-08+01:00
n4:zamer
n23:MSM6840770038
s:numberOfPages
10
n22:hasPublisher
Springer-Verlag
n11:isbn
978-3-642-22818-6
n21:organizacniJednotka
21230