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2020 – today
- 2024
[j47]Timothy Duff
, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P: Point-Line Minimal Problems under Partial Visibility in Three Views. Int. J. Comput. Vis. 132(8): 3302-3323 (2024)- [j46]Matteo Poggi, Federica Arrigoni, Andrea Fusiello, Stefano Mattoccia, Adrien Bartoli, Torsten Sattler, Tomás Pajdla:
Guest Editorial: Special Issue on Traditional Computer Vision in the Age of Deep Learning. Int. J. Comput. Vis. 132(9): 4128-4130 (2024) - [j45]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 421-435 (2024) - [c133]Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla:
Minimal Perspective Autocalibration. CVPR 2024: 5064-5073 - [c132]Federica Arrigoni, Andrea Fusiello, Tomás Pajdla:
A Direct Approach to Viewing Graph Solvability. ECCV (1) 2024: 319-334 - [i36]Marvin Anas Hahn, Kathlén Kohn, Orlando Marigliano, Tomás Pajdla:
Order-One Rolling Shutter Cameras. CoRR abs/2403.11295 (2024) - [i35]Xavier Alameda-Pineda, Angus Addlesee, Daniel Hernández García, Chris Reinke, Soraya Arias, Federica Arrigoni, Alex Auternaud, Lauriane Blavette, Cigdem Beyan, Luis G. Camara, Ohad Cohen, Alessandro Conti, Sébastien Dacunha, Christian Dondrup, Yoav Ellinson, Francesco Ferro, Sharon Gannot, Florian Gras, Nancie Gunson, Radu Horaud, Moreno D'Incà, Imad Kimouche, Séverin Lemaignan, Oliver Lemon, Cyril Liotard, Luca Marchionni, Mordehay Moradi, Tomás Pajdla, Maribel Pino, Michal Polic, Matthieu Py, Ariel Rado, Bin Ren, Elisa Ricci, Anne-Sophie Rigaud, Paolo Rota, Marta Romeo, Nicu Sebe, Weronika Sieinska, Pinchas Tandeitnik, Francesco Tonini, Nicolas Turro, Timothée Wintz, Yanchao Yu:
Socially Pertinent Robots in Gerontological Healthcare. CoRR abs/2404.07560 (2024) - [i34]Diana Sungatullina, Tomás Pajdla:
MinBackProp - Backpropagating through Minimal Solvers. CoRR abs/2404.17993 (2024) - [i33]Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás Pajdla:
Minimal Perspective Autocalibration. CoRR abs/2405.05605 (2024) - 2023
- [j44]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Guest Editorial: Special Issue on Advances in Computer Vision and Applications (ACCV 2020). Int. J. Comput. Vis. 131(2): 406 (2023) - [j43]Aless Lasaruk, Tomás Pajdla:
An Efficient Model for a Camera Behind a Parallel Refractive Slab. Int. J. Comput. Vis. 131(2): 431-452 (2023) - [j42]Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
Trifocal Relative Pose From Lines at Points. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7870-7884 (2023) - [c131]Petr Hruby, Viktor Korotynskiy, Timothy Duff, Luke Oeding, Marc Pollefeys, Tomás Pajdla, Viktor Larsson:
Four-view Geometry with Unknown Radial Distortion. CVPR 2023: 8990-9000 - [c130]Federica Arrigoni, Tomás Pajdla, Andrea Fusiello:
Viewing Graph Solvability in Practice. ICCV 2023: 8113-8121 - [c129]Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Using monodromy to recover symmetries of polynomial systems. ISSAC 2023: 251-259 - [i32]Evgeniy Martyushev, Snehal Bhayani, Tomás Pajdla:
Automatic Solver Generator for Systems of Laurent Polynomial Equations. CoRR abs/2307.00320 (2023) - [i31]Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Using monodromy to recover symmetries of polynomial systems. CoRR abs/2312.12685 (2023) - 2022
- [j41]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Improving Image Pair Selection for Large Scale Structure from Motion by Introducing Modified Simpson Coefficient. IEICE Trans. Inf. Syst. 105-D(9): 1590-1599 (2022) - [j40]Federica Arrigoni, Elisa Ricci, Tomás Pajdla:
Multi-frame Motion Segmentation by Combining Two-Frame Results. Int. J. Comput. Vis. 130(3): 696-728 (2022) - [j39]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1020-1034 (2022) - [j38]Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Fredrik Kahl, Torsten Sattler:
Long-Term Visual Localization Revisited. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2074-2088 (2022) - [j37]Pavel Trutman, Mohab Safey El Din, Didier Henrion, Tomás Pajdla:
Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. IEEE Robotics Autom. Lett. 7(3): 6012-6019 (2022) - [j36]Karla Stépánová, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomás Pajdla, Matej Hoffmann:
Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. Robotics Comput. Integr. Manuf. 73: 102250 (2022) - [j35]Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Galois/Monodromy Groups for Decomposing Minimal Problems in 3D Reconstruction. SIAM J. Appl. Algebra Geom. 6(1): 740-772 (2022) - [c128]Petr Hruby, Timothy Duff, Anton Leykin, Tomás Pajdla:
Learning to Solve Hard Minimal Problems. CVPR 2022: 5522-5532 - [c127]Evgeniy Martyushev, Jana Vráblíková, Tomás Pajdla:
Optimizing Elimination Templates by Greedy Parameter Search. CVPR 2022: 15733-15743 - [c126]Martina Dubenova, Anna Zderadickova, Ondrej Kafka, Tomás Pajdla, Michal Polic:
D-InLoc++: Indoor Localization in Dynamic Environments. GCPR 2022: 246-261 - [c125]Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomás Pajdla:
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency. ECCV (33) 2022: 108-124 - [i30]Evgeniy Martyushev, Jana Vráblíková, Tomás Pajdla:
Optimizing Elimination Templates by Greedy Parameter Search. CoRR abs/2203.14901 (2022) - [i29]Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomás Pajdla:
Objects Can Move: 3D Change Detection by Geometric Transformation Constistency. CoRR abs/2208.09870 (2022) - [i28]Martina Dubenova, Anna Zderadickova, Ondrej Kafka, Tomás Pajdla, Michal Polic:
D-InLoc++: Indoor Localization in Dynamic Environments. CoRR abs/2209.10185 (2022) - 2021
- [j34]Akihiko Torii, Hajime Taira, Josef Sivic, Marc Pollefeys, Masatoshi Okutomi, Tomás Pajdla, Torsten Sattler:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 814-829 (2021) - [j33]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1293-1307 (2021) - [c124]Federica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomás Pajdla:
Viewing Graph Solvability via Cycle Consistency. ICCV 2021: 5520-5529 - [e17]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e16]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e15]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e14]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8 [contents] - [e13]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8 [contents] - [e12]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 12627, Springer 2021, ISBN 978-3-030-69543-9 [contents] - [i27]Timothy Duff, Viktor Korotynskiy, Tomás Pajdla, Margaret H. Regan:
Galois/monodromy groups for decomposing minimal problems in 3D reconstruction. CoRR abs/2105.04460 (2021) - [i26]Petr Hruby, Tomás Pajdla:
Reconstructing Small 3D Objects in front of a Textured Background. CoRR abs/2105.11352 (2021) - [i25]Petr Hruby, Timothy Duff, Anton Leykin, Tomás Pajdla:
Learning to Solve Hard Minimal Problems. CoRR abs/2112.03424 (2021) - 2020
- [j32]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla:
Rolling Shutter Camera Absolute Pose. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1439-1452 (2020) - [c123]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler:
From Two Rolling Shutters to One Global Shutter. CVPR 2020: 2502-2510 - [c122]Michal Polic, Stanislav Steidl, Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Uncertainty Based Camera Model Selection. CVPR 2020: 5990-5999 - [c121]Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
TRPLP - Trifocal Relative Pose From Lines at Points. CVPR 2020: 12070-12080 - [c120]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-Line Minimal Problems Under Partial Visibility in Three Views. ECCV (26) 2020: 175-192 - [c119]Federica Arrigoni, Luca Magri, Tomás Pajdla:
On the Usage of the Trifocal Tensor in Motion Segmentation. ECCV (20) 2020: 514-530 - [c118]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. ECCV (5) 2020: 698-714 - [c117]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. ECCV (11) 2020: 723-740 - [c116]Federica Arrigoni, Luca Magri, Tomás Pajdla:
Motion Segmentation with Pairwise Matches and Unknown Number of Motions. ICPR 2020: 2896-2903 - [i24]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PL1P - Point-line Minimal Problems under Partial Visibility in Three Views. CoRR abs/2003.05015 (2020) - [i23]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. CoRR abs/2004.14052 (2020) - [i22]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla, Konrad Schindler:
From two rolling shutters to one global shutter. CoRR abs/2006.01964 (2020) - [i21]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. CoRR abs/2007.10032 (2020) - [i20]Pavel Trutman, Mohab Safey El Din, Didier Henrion, Tomás Pajdla:
Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator. CoRR abs/2007.12550 (2020) - [i19]Karla Stépánová, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomás Pajdla, Matej Hoffmann:
Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. CoRR abs/2012.07548 (2020)
2010 – 2019
- 2019
- [j31]Karla Stépánová, Tomás Pajdla, Matej Hoffmann:
Robot Self-Calibration Using Multiple Kinematic Chains - A Simulation Study on the iCub Humanoid Robot. IEEE Robotics Autom. Lett. 4(2): 1900-1907 (2019) - [c115]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019: 8092-8101 - [c114]Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation From Pairwise Matches. ICCV 2019: 671-681 - [c113]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. ICCV 2019: 1675-1684 - [c112]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. ICCV 2019: 4372-4382 - [c111]Federica Arrigoni, Tomás Pajdla:
Motion Segmentation via Synchronization. ICCV Workshops 2019: 4280-4290 - [i18]Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles Wrampler, Jonathan D. Hauenstein, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
Trifocal Relative Pose from Lines at Points and its Efficient Solution. CoRR abs/1903.09755 (2019) - [i17]Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. CoRR abs/1903.10008 (2019) - [i16]Mihai Dusmanu, Ignacio Rocco, Tomás Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler:
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features. CoRR abs/1905.03561 (2019) - [i15]Federica Arrigoni, Tomás Pajdla:
Robust Motion Segmentation from Pairwise Matches. CoRR abs/1905.09043 (2019) - [i14]Hajime Taira, Ignacio Rocco, Jirí Sedlár, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla, Torsten Sattler, Akihiko Torii:
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization. CoRR abs/1908.04598 (2019) - 2018
- [j30]Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels:
Distortion Varieties. Found. Comput. Math. 18(4): 1043-1071 (2018) - [j29]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 Place Recognition by View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 257-271 (2018) - [j28]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1437-1451 (2018) - [c110]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Linear Solution to the Minimal Absolute Pose Rolling Shutter Problem. ACCV (3) 2018: 265-280 - [c109]Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova, Tomás Pajdla:
Beyond Grobner Bases: Basis Selection for Minimal Solvers. CVPR 2018: 3945-3954 - [c108]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization With Dense Matching and View Synthesis. CVPR 2018: 7199-7209 - [c107]Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, Tomás Pajdla:
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR 2018: 8601-8610 - [c106]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. ECCV (2) 2018: 697-712 - [c105]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. NeurIPS 2018: 1658-1669 - [i13]Viktor Larsson, Magnus Oskarsson, Kalle Åström, Alge Wallis, Zuzana Kukelova, Tomás Pajdla:
Beyond Gröbner Bases: Basis Selection for Minimal Solvers. CoRR abs/1803.04360 (2018) - [i12]Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomás Pajdla, Akihiko Torii:
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CoRR abs/1803.10368 (2018) - [i11]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. CoRR abs/1808.02414 (2018) - [i10]Ignacio Rocco, Mircea Cimpoi, Relja Arandjelovic, Akihiko Torii, Tomás Pajdla, Josef Sivic:
Neighbourhood Consensus Networks. CoRR abs/1810.10510 (2018) - [i9]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Linear solution to the minimal absolute pose rolling shutter problem. CoRR abs/1812.11532 (2018) - 2017
- [j27]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard Similarity. IPSJ Trans. Comput. Vis. Appl. 9: 12 (2017) - [j26]Michal Lukác, Daniel Sýkora, Kalyan Sunkavalli, Eli Shechtman, Ondrej Jamriska, Nathan Carr, Tomás Pajdla:
Nautilus: recovering regional symmetry transformations for image editing. ACM Trans. Graph. 36(4): 108:1-108:11 (2017) - [c104]Michal Polic, Tomás Pajdla:
Camera Uncertainty Computation in Large 3D Reconstruction. 3DV 2017: 282-290 - [c103]Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A Clever Elimination Strategy for Efficient Minimal Solvers. CVPR 2017: 3605-3614 - [c102]Cenek Albl, Zuzana Kukelova, Andrew W. Fitzgibbon, Jan Heller, Matej Smíd, Tomás Pajdla:
On the Two-View Geometry of Unsynchronized Cameras. CVPR 2017: 5593-5602 - [c101]Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, Tomás Pajdla:
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization? CVPR 2017: 6175-6184 - [c100]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard similarity. MVA 2017: 25-29 - [c99]Michal Polic, Tomás Pajdla:
Uncertainty Computation in Large 3D Reconstruction. SCIA (1) 2017: 110-121 - [i8]Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A clever elimination strategy for efficient minimal solvers. CoRR abs/1703.05289 (2017) - [i7]Cenek Albl, Zuzana Kukelova, Andrew W. Fitzgibbon, Jan Heller, Matej Smíd, Tomás Pajdla:
On the Two-View Geometry of Unsynchronized Cameras. CoRR abs/1704.06843 (2017) - [i6]Torsten Sattler, Will Maddern, Akihiko Torii, Josef Sivic, Tomás Pajdla, Marc Pollefeys, Masatoshi Okutomi:
Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CoRR abs/1707.09092 (2017) - 2016
- [j25]Jingyi Ju, Bastian Goldluecke, Richard Szeliski, Tomás Pajdla:
Editorial. Comput. Vis. Image Underst. 145: 139 (2016) - [j24]Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. 118(3): 319-336 (2016) - [j23]Jan Heller, Tomás Pajdla:
GpoSolver: a Matlab/C++ toolbox for global polynomial optimization. Optim. Methods Softw. 31(2): 405-434 (2016) - [j22]Jan Heller, Michal Havlena, Tomás Pajdla:
Globally Optimal Hand-Eye Calibration Using Branch-and-Bound. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 1027-1033 (2016) - [c98]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Rolling Shutter Absolute Pose Problem with Known Vertical Direction. CVPR 2016: 3355-3363 - [c97]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. CVPR 2016: 5297-5307 - [c96]Cenek Albl, Akihiro Sugimoto, Tomás Pajdla:
Degeneracies in Rolling Shutter SfM. ECCV (5) 2016: 36-51 - [i5]Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels:
Distortion Varieties. CoRR abs/1610.01860 (2016) - 2015
- [j21]Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
Visual Place Recognition with Repetitive Structures. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2346-2359 (2015) - [c95]Zuzana Kukelova, Jan Heller, Martin Bujnak, Tomás Pajdla:
Radial distortion homography. CVPR 2015: 639-647 - [c94]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 place recognition by view synthesis. CVPR 2015: 1808-1817 - [c93]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
R6P - Rolling shutter absolute pose problem. CVPR 2015: 2292-2300 - [c92]Zuzana Kukelova, Jan Heller, Martin Bujnak, Andrew W. Fitzgibbon, Tomás Pajdla:
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras. ICCV 2015: 2309-2317 - [c91]Jan Heller, Michal Havlena, Michal Jancosek, Akihiko Torii, Tomás Pajdla:
3D reconstruction from photographs by CMP SfM web service. MVA 2015: 30-34 - [i4]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN architecture for weakly supervised place recognition. CoRR abs/1511.07247 (2015) - [i3]Andrés Bruhn, Atsushi Imiya, Ales Leonardis, Tomás Pajdla:
Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461). Dagstuhl Reports 5(11): 36-61 (2015) - 2014
- [j20]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. Inf. Media Technol. 9(3): 351-355 (2014) - [j19]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. IPSJ Trans. Comput. Vis. Appl. 6: 58-62 (2014) - [c90]Jan Heller, Tomás Pajdla:
World-Base Calibration by Global Polynomial Optimization. 3DV 2014: 593-600 - [c89]Filip Srajer, Alexander G. Schwing, Marc Pollefeys, Tomás Pajdla:
Match Box: Indoor Image Matching via Box-Like Scene Estimation. 3DV 2014: 705-712 - [c88]Jan Heller, Didier Henrion, Tomás Pajdla:
Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming. ACCV (1) 2014: 307-321 - [c87]Zuzana Kukelova, Martin Bujnak, Jan Heller, Tomás Pajdla:
Singly-Bordered Block-Diagonal Form for Minimal Problem Solvers. ACCV (2) 2014: 488-502 - [c86]Jan Heller, Didier Henrion, Tomás Pajdla:
Hand-eye and robot-world calibration by global polynomial optimization. ICRA 2014: 3157-3164 - [c85]Cenek Albl, Tomás Pajdla:
Global Camera Parameterization for Bundle Adjustment. VISAPP (3) 2014: 555-561 - [e11]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8689, Springer 2014, ISBN 978-3-319-10589-5 [contents] - [e10]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8690, Springer 2014, ISBN 978-3-319-10604-5 [contents] - [e9]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8691, Springer 2014, ISBN 978-3-319-10577-2 [contents] - [e8]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV. Lecture Notes in Computer Science 8692, Springer 2014, ISBN 978-3-319-10592-5 [contents] - [e7]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V. Lecture Notes in Computer Science 8693, Springer 2014, ISBN 978-3-319-10601-4 [contents] - [e6]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI. Lecture Notes in Computer Science 8694, Springer 2014, ISBN 978-3-319-10598-7 [contents] - [e5]David J. Fleet, Tomás Pajdla, Bernt Schiele, Tinne Tuytelaars:
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII. Lecture Notes in Computer Science 8695, Springer 2014, ISBN 978-3-319-10583-3 [contents] - [i2]Jan Heller, Didier Henrion, Tomás Pajdla:
Hand-Eye and Robot-World Calibration by Global Polynomial Optimization. CoRR abs/1402.3261 (2014) - 2013
- [c84]Zuzana Kukelova, Tomás Pajdla, Martin Bujnak:
Fast and Stable Algebraic Solution to L2 Three-View Triangulation. 3DV 2013: 326-333 - [c83]Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. CVPR 2013: 883-890 - [c82]Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR 2013: 907-914 - [c81]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length. ICCV 2013: 2816-2823 - [c80]Simon Fojtu, Karel Zimmermann, Tomás Pajdla, Václav Hlavác:
Domain Adaptation for Sequential Detection. SCIA 2013: 215-224 - [p5]Jan Smisek, Michal Jancosek, Tomás Pajdla:
3D with Kinect. Consumer Depth Cameras for Computer Vision 2013: 3-25 - [i1]Tanja Schilling, Tomás Pajdla:
Euclidean Upgrade from a Minimal Number of Segments. CoRR abs/1304.6990 (2013) - 2012
- [j18]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases. IPSJ Trans. Comput. Vis. Appl. 4: 78-86 (2012) - [j17]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Polynomial Eigenvalue Solutions to Minimal Problems in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1381-1393 (2012) - [j16]Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel:
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1886-1901 (2012) - [c79]Zuzana Kukelova, Jan Heller, Tomás Pajdla:
Hand-Eye Calibration without Hand Orientation Measurement Using Minimal Solution. ACCV (4) 2012: 576-589 - [c78]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Globally optimal hand-eye calibration. CVPR 2012: 1035-1042 - [c77]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Making minimal solvers fast. CVPR 2012: 1506-1513 - [c76]Jan Heller, Michal Havlena, Tomás Pajdla:
A branch-and-bound algorithm for globally optimal hand-eye calibration. CVPR 2012: 1608-1615 - [c75]Gerhard Paar, L. Waugh, David Preston Barnes, Tomás Pajdla, Mark Woods, H.-R. Graf, Y. Gao, Konrad Willner, Jan-Peter Muller, R. Li:
Integrated field testing of planetary robotics vision processing: the PRoVisG campaign in Tenerife 2011. Intelligent Robots and Computer Vision: Algorithms and Techniques 2012: 83010O - [c74]Simon Fojtu, Michal Havlena, Tomás Pajdla:
Nao Robot Localization and Navigation Using Fusion of Odometry and Visual Sensor Data. ICIRA (2) 2012: 427-438 - [p4]Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc Van Gool, Rufin Vogels, Stefan Wabnik, Daphna Weinshall:
DIRAC: Detection and Identification of Rare Audio-Visual Events. Detection and Identification of Rare Audiovisual Cues 2012: 3-35 - [p3]Michal Havlena, Jan Heller, Hendrik Kayser, Jörg-Hendrik Bach, Jörn Anemüller, Tomás Pajdla:
Incongruence Detection in Audio-Visual Processing. Detection and Identification of Rare Audiovisual Cues 2012: 67-75 - [p2]Tomás Pajdla, Michal Havlena, Jan Heller:
Learning from Incongruence. Detection and Identification of Rare Audiovisual Cues 2012: 119-127 - 2011
- [j15]Akihiko Torii, Michal Havlena, Tomás Pajdla:
Omnidirectional Image Stabilization for Visual Object Recognition. Int. J. Comput. Vis. 91(2): 157-174 (2011) - [j14]Zuzana Kukelova, Tomás Pajdla:
A Minimal Solution to Radial Distortion Autocalibration. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2410-2422 (2011) - [c73]Michal Jancosek, Tomás Pajdla:
Multi-view reconstruction preserving weakly-supported surfaces. CVPR 2011: 3121-3128 - [c72]Jan Heller, Michal Havlena, Akihiro Sugimoto, Tomás Pajdla:
Structure-from-motion based hand-eye calibration using L∞ minimization. CVPR 2011: 3497-3503 - [c71]Tomokazu Sato, Tomás Pajdla, Naokazu Yokoya:
Epipolar geometry estimation for wide-baseline omnidirectional street view images. ICCV Workshops 2011: 56-63 - [c70]Akihiko Torii, Josef Sivic, Tomás Pajdla:
Visual localization by linear combination of image descriptors. ICCV Workshops 2011: 102-109 - [c69]Jan Smisek, Michal Jancosek, Tomás Pajdla:
3D with Kinect. ICCV Workshops 2011: 1154-1160 - [c68]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Robust hand-eye self-calibration. ITSC 2011: 87-94 - [c67]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Global optimization of extended hand-eye calibration. Intelligent Vehicles Symposium 2011: 740-745 - [c66]Daniel Kondermann, Steffen Abraham, Gabriel J. Brostow, Wolfgang Förstner, Stefan Gehrig, Atsushi Imiya, Bernd Jähne, Felix Klose, Marcus A. Magnor, Helmut Mayer, Rudolf Mester, Tomás Pajdla, Ralf Reulke, Henning Zimmer:
On Performance Analysis of Optical Flow Algorithms. Theoretical Foundations of Computer Vision 2011: 329-355 - 2010
- [j13]João Pedro Barreto, Tomás Pajdla, Akihiro Sugimoto:
Special issue on omnidirectional vision, camera networks and non-conventional cameras. Comput. Vis. Image Underst. 114(2): 167 (2010) - [j12]Zuzana Kukelova, Martin Byröd, Klas Josephson, Tomás Pajdla, Kalle Åström:
Fast and robust numerical solutions to minimal problems for cameras with radial distortion. Comput. Vis. Image Underst. 114(2): 234-244 (2010) - [j11]Emanuele Menegatti, Tomás Pajdla:
Omnidirectional robot vision. Robotics Auton. Syst. 58(6): 745-746 (2010) - [c65]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
New Efficient Solution to the Absolute Pose Problem for Camera with Unknown Focal Length and Radial Distortion. ACCV (1) 2010: 11-24 - [c64]Akihiko Torii, Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
The Six Point Algorithm Revisited. ACCV Workshops (2) 2010: 184-193 - [c63]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Closed-Form Solutions to Minimal Absolute Pose Problems with Known Vertical Direction. ACCV (2) 2010: 216-229 - [c62]Branislav Micusík, Tomás Pajdla:
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections. CVPR 2010: 1562-1569 - [c61]Michal Havlena, Akihiko Torii, Tomás Pajdla:
Efficient Structure from Motion by Graph Optimization. ECCV (2) 2010: 100-113 - [c60]Michal Jancosek, Tomás Pajdla:
Hallucination-Free Multi-View Stereo. ECCV Workshops (1) 2010: 184-196 - [c59]Jan Knopp, Josef Sivic, Tomás Pajdla:
Avoiding Confusing Features in Place Recognition. ECCV (1) 2010: 748-761 - [c58]Thomas Ruland, Heidi Loose, Tomás Pajdla, Lars Krüger:
Hand-eye autocalibration of camera positions on vehicles. ITSC 2010: 367-372
2000 – 2009
- 2009
- [c57]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction. ACCV (1) 2009: 13-24 - [c56]Michal Havlena, Andreas Ess, Wim Moreau, Akihiko Torii, Michal Jancosek, Tomás Pajdla, Luc Van Gool:
AWEAR 2.0 system: Omni-directional audio-visual data acquisition and processing. CVPR Workshops 2009: 49-56 - [c55]Jan Heller, Tomás Pajdla:
Stereographic rectification of omnidirectional stereo pairs. CVPR 2009: 1414-1421 - [c54]Michal Havlena, Akihiko Torii, Jan Knopp, Tomás Pajdla:
Randomized structure from motion based on atomic 3D models from camera triplets. CVPR 2009: 2874-2881 - [c53]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
3D reconstruction from image collections with a single known focal length. ICCV 2009: 1803-1810 - [c52]Michal Jancosek, Alexander Shekhovtsov, Tomás Pajdla:
Scalable multi-view stereo. ICCV Workshops 2009: 1526-1533 - [c51]Akihiko Torii, Michal Havlena, Tomás Pajdla:
From Google Street View to 3D city models. ICCV Workshops 2009: 2188-2195 - [c50]Akihiko Torii, Michal Havlena, Tomás Pajdla:
Omnidirectional Image Stabilization by Computing Camera Trajectory. PSIVT 2009: 71-82 - 2008
- [j10]Tobias Ehlgen, Tomás Pajdla, D. Ammon:
Eliminating Blind Spots for Assisted Driving. IEEE Trans. Intell. Transp. Syst. 9(4): 657-665 (2008) - [c49]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Polynomial Eigenvalue Solutions to the 5-pt and 6-pt Relative Pose Problems. BMVC 2008: 1-10 - [c48]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
A general solution to the P4P problem for camera with unknown focal length. CVPR 2008 - [c47]Martin Byröd, Zuzana Kukelova, Klas Josephson, Tomás Pajdla, Kalle Åström:
Fast and robust numerical solutions to minimal problems for cameras with radial distortion. CVPR 2008 - [c46]Akihiko Torii, Michal Havlena, Tomás Pajdla, Bastian Leibe:
Measuring camera translation by the dominant apical angle. CVPR 2008 - [c45]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Automatic Generator of Minimal Problem Solvers. ECCV (3) 2008: 302-315 - [c44]Jörn Anemüller, Jörg-Hendrik Bach, Barbara Caputo, Michal Havlena, Jie Luo, Hendrik Kayser, Bastian Leibe, Petr Motlícek, Tomás Pajdla, Misha Pavel, Akihiko Torii, Luc Van Gool, Alon Zweig, Hynek Hermansky:
The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events. ICMI 2008: 289-292 - [c43]Michal Havlena, Tomás Pajdla, Kurt Cornelis:
Structure from Omnidirectional Stereo Rig Motion for City Modeling. VISAPP (2) 2008: 407-414 - [c42]Akihiko Torii, Tomás Pajdla:
Omnidirectional Camera Motion Estimation. VISAPP (2) 2008: 577-584 - 2007
- [c41]Zuzana Kukelova, Tomás Pajdla:
A minimal solution to the autocalibration of radial distortion. CVPR 2007 - [c40]Daniel Martinec, Tomás Pajdla:
Robust Rotation and Translation Estimation in Multiview Reconstruction. CVPR 2007 - [c39]Branislav Micusík, Tomás Pajdla:
Multi-label image segmentation via max-sum solver. CVPR 2007 - [c38]Zuzana Kukelova, Tomás Pajdla:
Two Minimal Problems for Cameras with Radial Distortion. ICCV 2007: 1-8 - [c37]Tobias Ehlgen, Tomás Pajdla:
Maneuvering Aid for Large Vehicle using Omnidirectional Cameras. WACV 2007: 17 - 2006
- [j9]Tomás Pajdla, Jiri Matas:
Editorial: Selection of Papers for the ECCV 2004 Special Issue. Int. J. Comput. Vis. 67(2): 139 (2006) - [j8]Branislav Micusík, Tomás Pajdla:
Structure from Motion with Wide Circular Field of View Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1135-1149 (2006) - [c36]Daniel Martinec, Tomás Pajdla:
3D Reconstruction by Gluing Pair-Wise Euclidean Reconstructions, or "How to Achieve a Good Reconstruction from Bad Images". 3DPVT 2006: 25-32 - [c35]George I. Kamberov, Gerda Kamberova, Ondrej Chum, Stepán Obdrzálek, Daniel Martinec, Jana Kostková, Tomás Pajdla, Jiri Matas, Radim Sára:
3D Geometry from Uncalibrated Images. ISVC (2) 2006: 802-813 - 2005
- [j7]Ondrej Chum, Tomás Pajdla, Peter F. Sturm:
The geometric error for homographies. Comput. Vis. Image Underst. 97(1): 86-102 (2005) - [j6]Tomás Svoboda, Daniel Martinec, Tomás Pajdla:
A Convenient Multicamera Self-Calibration for Virtual Environments. Presence Teleoperators Virtual Environ. 14(4): 407-422 (2005) - [c34]Daniel Martinec, Tomás Pajdla:
3D Reconstruction by Fitting Low-Rank Matrices with Missing Data. CVPR (1) 2005: 198-205 - 2004
- [j5]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22(10): 761-767 (2004) - [c33]Marc Menem, Tomás Pajdla:
Constraints on perspective images and circular panoramas. BMVC 2004: 1-10 - [c32]Branislav Micusík, Tomás Pajdla:
Autocalibration & 3D Reconstruction with Non-Central Catadioptric Cameras. CVPR (1) 2004: 58-65 - [c31]Hugo Cornelius, Radim Sára, Daniel Martinec, Tomás Pajdla, Ondrej Chum, Jiri Matas:
Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images. ECCV Workshop SMVP 2004: 1-12 - [e4]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part I. Lecture Notes in Computer Science 3021, Springer 2004, ISBN 3-540-21984-6 [contents] - [e3]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part II. Lecture Notes in Computer Science 3022, Springer 2004, ISBN 3-540-21983-8 [contents] - [e2]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part III. Lecture Notes in Computer Science 3023, Springer 2004, ISBN 3-540-21982-X [contents] - [e1]Tomás Pajdla, Jiri Matas:
Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part IV. Lecture Notes in Computer Science 3024, Springer 2004, ISBN 3-540-21981-1 [contents] - 2003
- [c30]Hynek Bakstein, Tomás Pajdla, Daniel Vecerka:
Rendering Almost Perspective Views from a Sparse Set of Omnidirectional Images. BMVC 2003: 1-10 - [c29]Ondrej Chum, Tomás Werner, Tomás Pajdla:
Joint Orientation of Epipoles. BMVC 2003: 1-10 - [c28]Hynek Bakstein, Tomás Pajdla:
Rendering novel views from a set of omnidirectional mosaic images. CVPR Workshops 2003: 74 - [c27]Branislav Micusík, Tomás Pajdla:
Estimation of omnidirectional camera model from epipolar geometry. CVPR (1) 2003: 485-490 - [c26]Daniel Martinec, Tomás Pajdla:
Line Reconstruction from Many Perspective Images by Factorization. CVPR (1) 2003: 497-502 - [c25]Doron Feldman, Tomás Pajdla, Daphna Weinshall:
On the Epipolar Geometry of the Crossed-Slits Projection. ICCV 2003: 988-995 - [c24]Branislav Micusík, Tomás Pajdla:
Omnidirectional Camera Model and Epipolar Geometry Estimation by RANSAC with Bucketing. SCIA 2003: 83-90 - [c23]Daniel Martinec, Tomás Pajdla:
Consistent Multi-view Reconstruction from Epipolar Geometries with Outliers. SCIA 2003: 493-500 - 2002
- [j4]Tomás Werner, Tomás Pajdla, Václav Hlavác, Ales Leonardis, Martin Matousek:
Selection of Reference Images for Image-Based Scene Representations. Computing 68(2): 163-180 (2002) - [j3]Pavel Krsek, Tomás Pajdla, Václav Hlavác:
Differential Invariants as the Base of Triangulated Surface Registration. Comput. Vis. Image Underst. 87(1-3): 27-38 (2002) - [j2]Tomás Pajdla:
Stereo with Oblique Cameras. Int. J. Comput. Vis. 47(1-3): 161-170 (2002) - [j1]Tomás Svoboda, Tomás Pajdla:
Epipolar Geometry for Central Catadioptric Cameras. Int. J. Comput. Vis. 49(1): 23-37 (2002) - [c22]Jiri Matas, Ondrej Chum, Martin Urban, Tomás Pajdla:
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. BMVC 2002: 1-10 - [c21]Daniel Martinec, Tomás Pajdla:
Structure from Many Perspective Images with Occlusions. ECCV (2) 2002: 355-369 - 2001
- [c20]Tomás Werner, Tomás Pajdla:
Oriented Matching Constraints. BMVC 2001: 1-10 - [c19]Tomás Svoboda, Tomás Pajdla:
Matching in Catadioptric Images with Appropriate Windows, and Outliers Removal. CAIP 2001: 733-740 - [c18]Hynek Bakstein, Tomás Pajdla:
3D Reconstruction from 360 x 360 Mosaics. CVPR (2) 2001: 72-77 - [c17]Tomás Pajdla, Václav Hlavác:
Image-Based Self-Localization by Means of Zero Phase Representation in Panoramic Images. ICAPR 2001: 24-31 - [c16]Tomás Werner, Tomás Pajdla:
Cheirality in Epipolar Geometry. ICCV 2001: 548-553 - 2000
- [c15]Tomás Pajdla, J. P. Mellor, Camillo J. Taylor, Tomás Brodský, Andrew J. Davison:
Panel Session on Extended Environments. SMILE 2000: 235-242 - [p1]Martin Urban, Tomás Pajdla, Václav Hlavác:
Consistent Projective Reconstruction from Multiple Views. Confluence of Computer Vision and Computer Graphics 2000: 49-67
1990 – 1999
- 1999
- [c14]Tomás Pajdla, Václav Hlavác:
Zero Phase Representation of Panoramic Images for Image Vased Localization. CAIP 1999: 550-557 - [c13]Martin Urban, Tomás Pajdla, Václav Hlavác:
Projective Reconstruction from N Views Having One View in Common. Workshop on Vision Algorithms 1999: 116-131 - 1998
- [c12]Tomás Pajdla, Václav Hlavác:
Camera Calibration and Euclidean Reconstruction from Known Observer Translations. CVPR 1998: 421-426 - [c11]Tomás Svoboda, Tomás Pajdla, Václav Hlavác:
Epipolar Geometry of Panoramic Cameras. ECCV (1) 1998: 218-231 - [c10]Tomás Werner, Tomás Pajdla, Václav Hlavác:
Efficient 3-D Scene Visualization by Image Extrapolation. ECCV (2) 1998: 382-396 - [c9]Tomás Werner, Tomás Pajdla, Václav Hlavác:
Efficient rendering of projective model for image-based visualization. ICPR 1998: 1705-1707 - [c8]Vladimír Smutný, Václav Hlavác, Tomás Pajdla, P. Palatka:
Vision-based sensors for production control- The experience gathered in applications. BASYS 1998: 525-532 - 1996
- [c7]Tomás Werner, Václav Hlavác, Ales Leonardis, Tomás Pajdla:
Selection of reference views for image-based representation. ICPR 1996: 73-77 - [c6]Tomás Werner, Václav Hlavác, Ales Leonardis, Tomás Pajdla:
Choosing Reference Views for Image-Based Representation. SOFSEM 1996: 459-466 - 1995
- [c5]Tomás Pajdla, Luc Van Gool:
Efficient matching of space curves. CAIP 1995: 25-32 - [c4]Tomás Pajdla, Luc Van Gool:
Matching of 3D Curves Using Semi-Differential Invariants. ICCV 1995: 390-395 - 1994
- [c3]Václav Hlavác, Tomás Pajdla, Milos Sommer:
Improvement of the curvature computation. ICPR (1) 1994: 536-538 - 1993
- [c2]Tomás Pajdla, Václav Hlavác:
Surface Discontinuities in Range Images. CAIP 1993: 412-419 - [c1]Tomás Pajdla, Václav Hlavác:
Surface discontinuities in range images. ICCV 1993: 524-528
Coauthor Index
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