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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F12%3A00200345%21RIV13-MSM-21230___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
This paper introduces a novel solution to hand-eye calibration problem. It is the first method that uses camera measurements directly and at the same time requires neither prior knowledge of the external camera calibrations nor a known calibration device. Our algorithm uses branch-and-bound approach to minimize an objective function based on the epipolar constraint. Further, it employs Linear Programming to decide the bounding step of the algorithm. The presented technique is able to recover both the unknown rotation and translation simultaneously and the solution is guaranteed to be globally optimal with respect to the L_infty-norm. This paper introduces a novel solution to hand-eye calibration problem. It is the first method that uses camera measurements directly and at the same time requires neither prior knowledge of the external camera calibrations nor a known calibration device. Our algorithm uses branch-and-bound approach to minimize an objective function based on the epipolar constraint. Further, it employs Linear Programming to decide the bounding step of the algorithm. The presented technique is able to recover both the unknown rotation and translation simultaneously and the solution is guaranteed to be globally optimal with respect to the L_infty-norm.
dcterms:title
A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration
skos:prefLabel
A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration
skos:notation
RIV/68407700:21230/12:00200345!RIV13-MSM-21230___
n14:predkladatel
n21:orjk%3A21230
n4:aktivita
n20:S n20:P
n4:aktivity
P(7E09062), P(7E10046), S
n4:dodaniDat
n13:2013
n4:domaciTvurceVysledku
n7:5043476 n7:4872029 n7:6245269
n4:druhVysledku
n22:D
n4:duvernostUdaju
n15:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
120041
n4:idVysledku
RIV/68407700:21230/12:00200345
n4:jazykVysledku
n5:eng
n4:klicovaSlova
Hand-Eye Calibration; Branch-and-Bound
n4:klicoveSlovo
n16:Hand-Eye%20Calibration n16:Branch-and-Bound
n4:kontrolniKodProRIV
[1995F1C0B54B]
n4:mistoKonaniAkce
Providence, Rhode Island
n4:mistoVydani
New York
n4:nazevZdroje
CVPR 2012: Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
n4:obor
n23:JD
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n8:7E10046 n8:7E09062
n4:rokUplatneniVysledku
n13:2012
n4:tvurceVysledku
Heller, Jan Pajdla, Tomáš Havlena, Michal
n4:typAkce
n12:WRD
n4:wos
000309166201096
n4:zahajeniAkce
2012-06-16+02:00
s:issn
1063-6919
s:numberOfPages
8
n3:doi
10.1109/CVPR.2012.6247853
n18:hasPublisher
IEEE Computer Society Press
n17:isbn
978-1-4673-1228-8
n10:organizacniJednotka
21230