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 LarssonAssistant Professor at Lund UniversityVerified email at math.lth.se
Čeněk AlblCTO, Diminished RealityVerified email at diminishedreality.com
Jan HellerCzech Technical University in PragueVerified email at cmp.felk.cvut.cz
Daniel BarathETH ZürichVerified email at ethz.ch
Andrew FitzgibbonGraphcoreVerified email at fitzgibbon.ie
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
Torsten SattlerSenior Researcher, Czech Technical University in PragueVerified email at cvut.cz
James PrittsCzech Technical University (CIIRC)Verified email at cvut.cz
Ondrej ChumCMP, CTU in PragueVerified email at cmp.felk.cvut.cz
Martin ByrödLunds universitetVerified email at maths.lth.se
Michal PolicPhD student, Czech Technical University in PragueVerified email at cvut.cz
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftVerified email at inf.ethz.ch
Snehal BhayaniUniversity Of OuluVerified email at oulu.fi
Janne HeikkiläProfessor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
Bernd SturmfelsDirector of the Max Planck Institute for Mathematics in the Sciences in Leipzig, GermanyVerified email at mis.mpg.de
Joe KileelAssistant Professor, University 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

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	283	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	201	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	123	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	115	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	113	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	112	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	90	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	82	2011
R6p-rolling shutter absolute camera pose C Albl, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	77*	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	65	2008
Radial distortion homography Z Kukelova, J Heller, M Bujnak, T Pajdla Proceedings of the IEEE conference on computer vision and pattern …, 2015	63	2015
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	61	2009
A minimal solution to radial distortion autocalibration Z Kukelova, T Pajdla IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (12), 2410 …, 2011	59	2011
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	50	2018
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	46	2017
Two minimal problems for cameras with radial distortion Z Kukelova, T Pajdla 2007 IEEE 11th international conference on computer vision, 1-8, 2007	46	2007
Making minimal solvers fast M Bujnak, Z Kukelova, T Pajdla 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1506-1513, 2012	45	2012
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	42	2016
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	42	2010
A clever elimination strategy for efficient minimal solvers Z Kukelova, J Kileel, B Sturmfels, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	40	2017

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