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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F13%3A00212566%21RIV14-MSM-21230___
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://cmp.felk.cvut.cz/~kukelova/publications/Kukelova-Bujnak-ICCV-2013.pdf
dcterms:description
The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solution to the absolute pose problem for camera with unknown radial distortion and unknown focal length from five 2D-to-3D point correspondences. Our new solver is numerically more stable, more accurate, and significantly faster than the existing state-of-the-art minimal four point absolute pose solvers for this problem. Moreover, our solver results in less solutions and can handle larger radial distortions. The new solver is straightforward and uses only simple concepts from linear algebra. Therefore it is simpler than the state-of-the-art Groebner basis solvers. We compare our new solver with the existing state-of-the art solvers and show its usefulness on synthetic and real datasets. The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solution to the absolute pose problem for camera with unknown radial distortion and unknown focal length from five 2D-to-3D point correspondences. Our new solver is numerically more stable, more accurate, and significantly faster than the existing state-of-the-art minimal four point absolute pose solvers for this problem. Moreover, our solver results in less solutions and can handle larger radial distortions. The new solver is straightforward and uses only simple concepts from linear algebra. Therefore it is simpler than the state-of-the-art Groebner basis solvers. We compare our new solver with the existing state-of-the art solvers and show its usefulness on synthetic and real datasets.
dcterms:title
Real-time solution to the absolute pose problem with unknown radial distortion and focal length Real-time solution to the absolute pose problem with unknown radial distortion and focal length
skos:prefLabel
Real-time solution to the absolute pose problem with unknown radial distortion and focal length Real-time solution to the absolute pose problem with unknown radial distortion and focal length
skos:notation
RIV/68407700:21230/13:00212566!RIV14-MSM-21230___
n20:predkladatel
n21:orjk%3A21230
n4:aktivita
n10:P
n4:aktivity
P(7E13015)
n4:dodaniDat
n17:2014
n4:domaciTvurceVysledku
n19:6245269 Kúkelová, Zuzana
n4:druhVysledku
n23:D
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n11:predkladatel
n4:idSjednocenehoVysledku
101648
n4:idVysledku
RIV/68407700:21230/13:00212566
n4:jazykVysledku
n22:eng
n4:klicovaSlova
aboslute pose; camera calibration; focal length; radial distortion
n4:klicoveSlovo
n9:radial%20distortion n9:focal%20length n9:camera%20calibration n9:aboslute%20pose
n4:kontrolniKodProRIV
[3936154A04D7]
n4:mistoKonaniAkce
Sydney
n4:mistoVydani
Los Alamitos
n4:nazevZdroje
2013 IEEE International Conference on Computer Vision (ICCV 2013)
n4:obor
n8:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n14:7E13015
n4:rokUplatneniVysledku
n17:2013
n4:tvurceVysledku
Kúkelová, Zuzana Bujňák, M. Pajdla, Tomáš
n4:typAkce
n12:WRD
n4:zahajeniAkce
2013-12-03+01:00
s:issn
1550-5499
s:numberOfPages
8
n3:hasPublisher
IEEE Computer Society Press
n15:isbn
978-1-4799-2839-2
n18:organizacniJednotka
21230