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Semantic ScholarTomás Pajdla
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2010 – today
- 2018
[j29]Joe Kileel, Zuzana Kukelova, Tomás Pajdla, Bernd Sturmfels:
Distortion Varieties. Foundations of Computational Mathematics 18(4): 1043-1071 (2018)- [j28]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) - [j27]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) - [c102]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. ECCV (2) 2018: 697-712 - [i11]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) - [i10]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) - [i9]Michal Polic, Wolfgang Förstner, Tomás Pajdla:
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction. CoRR abs/1808.02414 (2018) - 2017
- [j26]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard Similarity. IPSJ Trans. Computer Vision and Applications 9: 12 (2017) - [j25]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) - [c101]Michal Polic, Tomás Pajdla:
Camera Uncertainty Computation in Large 3D Reconstruction. 3DV 2017: 282-290 - [c100]Zuzana Kukelova, Joe Kileel, Bernd Sturmfels, Tomás Pajdla:
A Clever Elimination Strategy for Efficient Minimal Solvers. CVPR 2017: 3605-3614 - [c99]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 - [c98]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 - [c97]Takaharu Kato, Ikuko Shimizu, Tomás Pajdla:
Selecting image pairs for SfM by introducing Jaccard similarity. MVA 2017: 25-29 - [c96]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
- [j24]Jingyi Ju, Bastian Goldluecke, Richard Szeliski, Tomás Pajdla:
Editorial. Computer Vision and Image Understanding 145: 139 (2016) - [j23]Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. International Journal of Computer Vision 118(3): 319-336 (2016) - [j22]Jan Heller, Tomás Pajdla:
GpoSolver: a Matlab/C++ toolbox for global polynomial optimization. Optimization Methods and Software 31(2): 405-434 (2016) - [j21]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) - [c95]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
Rolling Shutter Absolute Pose Problem with Known Vertical Direction. CVPR 2016: 3355-3363 - [c94]Relja Arandjelovic, Petr Gronát, Akihiko Torii, Tomás Pajdla, Josef Sivic:
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition. CVPR 2016: 5297-5307 - [c93]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
- [j20]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) - [c92]Zuzana Kukelova, Jan Heller, Martin Bujnak, Tomás Pajdla:
Radial distortion homography. CVPR 2015: 639-647 - [c91]Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomás Pajdla:
24/7 place recognition by view synthesis. CVPR 2015: 1808-1817 - [c90]Cenek Albl, Zuzana Kukelova, Tomás Pajdla:
R6P - Rolling shutter absolute pose problem. CVPR 2015: 2292-2300 - [c89]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 - [c88]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
- [j19]Akihiko Torii, Yafei Dong, Masatoshi Okutomi, Josef Sivic, Tomás Pajdla:
Efficient Localization of Panoramic Images Using Tiled Image Descriptors. IPSJ Trans. Computer Vision and Applications 6: 58-62 (2014) - [c87]Jan Heller, Tomás Pajdla:
World-Base Calibration by Global Polynomial Optimization. 3DV 2014: 593-600 - [c86]Filip Srajer, Alexander G. Schwing, Marc Pollefeys, Tomás Pajdla:
Match Box: Indoor Image Matching via Box-Like Scene Estimation. 3DV 2014: 705-712 - [c85]Jan Heller, Didier Henrion, Tomás Pajdla:
Stable Radial Distortion Calibration by Polynomial Matrix Inequalities Programming. ACCV (1) 2014: 307-321 - [c84]Zuzana Kukelova, Martin Bujnak, Jan Heller, Tomás Pajdla:
Singly-Bordered Block-Diagonal Form for Minimal Problem Solvers. ACCV (2) 2014: 488-502 - [c83]Jan Heller, Didier Henrion, Tomás Pajdla:
Hand-eye and robot-world calibration by global polynomial optimization. ICRA 2014: 3157-3164 - [c82]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
- [c81]Zuzana Kukelova, Tomás Pajdla, Martin Bujnak:
Fast and Stable Algebraic Solution to L2 Three-View Triangulation. 3DV 2013: 326-333 - [c80]Akihiko Torii, Josef Sivic, Tomás Pajdla, Masatoshi Okutomi:
Visual Place Recognition with Repetitive Structures. CVPR 2013: 883-890 - [c79]Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla:
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR 2013: 907-914 - [c78]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 - [c77]Simon Fojtu, Karel Zimmermann, Tomás Pajdla, Václav Hlavác:
Domain Adaptation for Sequential Detection. SCIA 2013: 215-224 - [p4]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. Computer Vision and Applications 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 J. 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) - [c76]Zuzana Kukelova, Jan Heller, Tomás Pajdla:
Hand-Eye Calibration without Hand Orientation Measurement Using Minimal Solution. ACCV (4) 2012: 576-589 - [c75]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Globally optimal hand-eye calibration. CVPR 2012: 1035-1042 - [c74]
- [c73]Jan Heller, Michal Havlena, Tomás Pajdla:
A branch-and-bound algorithm for globally optimal hand-eye calibration. CVPR 2012: 1608-1615 - [c72]Simon Fojtu, Michal Havlena, Tomás Pajdla:
Nao Robot Localization and Navigation Using Fusion of Odometry and Visual Sensor Data. ICIRA (2) 2012: 427-438 - [p3]Jörn Anemüller, Barbara Caputo, Hynek Hermansky, Frank W. Ohl, Tomás Pajdla, Misha Pavel, Luc J. 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 - [p2]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 - [p1]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. International Journal of Computer Vision 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) - [c71]Michal Jancosek, Tomás Pajdla:
Multi-view reconstruction preserving weakly-supported surfaces. CVPR 2011: 3121-3128 - [c70]Jan Heller, Michal Havlena, Akihiro Sugimoto, Tomás Pajdla:
Structure-from-motion based hand-eye calibration using L∞ minimization. CVPR 2011: 3497-3503 - [c69]Tomokazu Sato, Tomás Pajdla, Naokazu Yokoya:
Epipolar geometry estimation for wide-baseline omnidirectional street view images. ICCV Workshops 2011: 56-63 - [c68]Akihiko Torii, Josef Sivic, Tomás Pajdla:
Visual localization by linear combination of image descriptors. ICCV Workshops 2011: 102-109 - [c67]
- [c66]
- [c65]Thomas Ruland, Tomás Pajdla, Lars Krüger:
Global optimization of extended hand-eye calibration. Intelligent Vehicles Symposium 2011: 740-745 - [c64]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. Computer Vision and Image Understanding 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. Computer Vision and Image Understanding 114(2): 234-244 (2010) - [j11]Emanuele Menegatti, Tomás Pajdla:
Omnidirectional robot vision. Robotics and Autonomous Systems 58(6): 745-746 (2010) - [c63]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 - [c62]Akihiko Torii, Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
The Six Point Algorithm Revisited. ACCV Workshops (2) 2010: 184-193 - [c61]Zuzana Kukelova, Martin Bujnak, Tomás Pajdla:
Closed-Form Solutions to Minimal Absolute Pose Problems with Known Vertical Direction. ACCV (2) 2010: 216-229 - [c60]Branislav Micusík, Tomás Pajdla:
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections. CVPR 2010: 1562-1569 - [c59]Michal Havlena, Akihiko Torii, Tomás Pajdla:
Efficient Structure from Motion by Graph Optimization. ECCV (2) 2010: 100-113 - [c58]Michal Jancosek, Tomás Pajdla:
Hallucination-Free Multi-View Stereo. ECCV Workshops (1) 2010: 184-196 - [c57]Jan Knopp, Josef Sivic, Tomás Pajdla:
Avoiding Confusing Features in Place Recognition. ECCV (1) 2010: 748-761 - [c56]Thomas Ruland, Heidi Loose, Tomás Pajdla, Lars Krüger:
Hand-eye autocalibration of camera positions on vehicles. ITSC 2010: 367-372
2000 – 2009
- 2009
- [c55]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction. ACCV (1) 2009: 13-24 - [c54]Michal Havlena, Andreas Ess, Wim Moreau, Akihiko Torii, Michal Jancosek, Tomás Pajdla, Luc J. Van Gool:
AWEAR 2.0 system: Omni-directional audio-visual data acquisition and processing. CVPR Workshops 2009: 49-56 - [c53]Jan Heller, Tomás Pajdla:
Stereographic rectification of omnidirectional stereo pairs. CVPR 2009: 1414-1421 - [c52]Michal Havlena, Akihiko Torii, Jan Knopp, Tomás Pajdla:
Randomized structure from motion based on atomic 3D models from camera triplets. CVPR 2009: 2874-2881 - [c51]Martin Bujnak, Zuzana Kukelova, Tomás Pajdla:
3D reconstruction from image collections with a single known focal length. ICCV 2009: 1803-1810 - [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. Intelligent Transportation Systems 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 J. 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]
- 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]
- [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. International Journal of Computer Vision 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 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. Computer Vision and Image Understanding 97(1): 86-102 (2005) - [j6]Tomás Svoboda, Daniel Martinec, Tomás Pajdla:
A Convenient Multicamera Self-Calibration for Virtual Environments. Presence 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 Vision Comput. 22(10): 761-767 (2004) - [c33]
- [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]