Zuzana Kukelova

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Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
Martin BujnakResearch and developmentVerified email at cmp.felk.cvut.cz
Viktor LarssonETH ZurichVerified email at inf.ethz.ch
Čeněk AlblPostdoc, ETH ZurichVerified email at geod.baug.ethz.ch
Jan HellerCzech Technical University in PragueVerified email at cmp.felk.cvut.cz
Andrew FitzgibbonMicrosoftVerified email at microsoft.com
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
Ondrej ChumCMP, CTU in PragueVerified email at cmp.felk.cvut.cz
Martin ByrödLunds universitetVerified email at maths.lth.se
Daniel BarathETH ZürichVerified email at sztaki.hu
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at chalmers.se
Bernd SturmfelsDirector of the Max Planck Institute for Mathematics in the Sciences in Leipzig, GermanyVerified email at mis.mpg.de
Joe KileelUniversity of Texas at AustinVerified email at math.utexas.edu
Filip ŠrajerCisco SystemsVerified email at cisco.com
Matěj ŠmídPhD student, CMP FEE CTU PragueVerified email at cmp.felk.cvut.cz
Snehal BhayaniUniversity Of OuluVerified email at oulu.fi
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluVerified email at ee.oulu.fi
Akihiko TORIIAssistant Professor, Tokyo Institute of TechnologyVerified email at ctrl.titech.ac.jp
Akihiro SugimotoNational Institute of InformaticsVerified email at nii.ac.jp
Magnus OskarssonAss. professor of mathematics, Lund UniversityVerified email at maths.lth.se

Zuzana Kukelova

Assistant Professor, Czech Technical University in Prague

Verified email at cmp.felk.cvut.cz - Homepage

Computer vision Minimal problems Algebraic geometry


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Automatic generator of minimal problem solvers Z Kukelova, M Bujnak, T Pajdla European Conference on Computer Vision, 302-315, 2008	239	2008
A general solution to the P4P problem for camera with unknown focal length M Bujnak, Z Kukelova, T Pajdla 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	182	2008
Closed-form solutions to minimal absolute pose problems with known vertical direction Z Kukelova, M Bujnak, T Pajdla Asian Conference on Computer Vision, 216-229, 2010	102	2010
Polynomial Eigenvalue Solutions to the 5-pt and 6-pt Relative Pose Problems. Z Kukelova, M Bujnak, T Pajdla BMVC 2 (5), 2008, 2008	99	2008
New efficient solution to the absolute pose problem for camera with unknown focal length and radial distortion M Bujnak, Z Kukelova, T Pajdla Asian Conference on Computer Vision, 11-24, 2010	95	2010
Real-time solution to the absolute pose problem with unknown radial distortion and focal length Z Kukelova, M Bujnak, T Pajdla Proceedings of the IEEE International Conference on Computer Vision, 2816-2823, 2013	86	2013
A minimal solution to the autocalibration of radial distortion Z Kukelova, T Pajdla 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007	84	2007
Polynomial eigenvalue solutions to minimal problems in computer vision Z Kukelova, M Bujnak, T Pajdla IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (7), 1381-1393, 2011	67	2011
R6p-rolling shutter absolute camera pose C Albl, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	60*	2015
Fast and robust numerical solutions to minimal problems for cameras with radial distortion M Byrod, Z Kukelova, K Josephson, T Pajdla, K Astrom 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	60	2008
3d reconstruction from image collections with a single known focal length M Bujnak, Z Kukelova, T Pajdla 2009 IEEE 12th International Conference on Computer Vision, 1803-1810, 2009	54	2009
A minimal solution to radial distortion autocalibration Z Kukelova, T Pajdla IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2410 …, 2011	48	2011
Radial distortion homography Z Kukelova, J Heller, M Bujnak, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	47	2015
Making minimal solvers fast M Bujnak, Z Kukelova, T Pajdla 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1506-1513, 2012	41	2012
Fast and robust numerical solutions to minimal problems for cameras with radial distortion Z Kukelova, M Byröd, K Josephson, T Pajdla, K Åström Computer Vision and Image Understanding 114 (2), 234-244, 2010	39	2010
Two minimal problems for cameras with radial distortion Z Kukelova, T Pajdla 2007 IEEE 11th international conference on computer vision, 1-8, 2007	39	2007
Beyond grobner bases: Basis selection for minimal solvers V Larsson, M Oskarsson, K Astrom, A Wallis, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	29	2018
Rolling shutter absolute pose problem with known vertical direction C Albl, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	29	2016
Making minimal solvers for absolute pose estimation compact and robust V Larsson, Z Kukelova, Y Zheng Proceedings of the IEEE International Conference on Computer Vision, 2316-2324, 2017	28	2017
Efficient solution to the epipolar geometry for radially distorted cameras Z Kukelova, J Heller, M Bujnak, A Fitzgibbon, T Pajdla Proceedings of the IEEE international conference on computer vision, 2309-2317, 2015	28	2015

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