3D Reloaded: Novel Algorithms for 3D Shape Inference and Analysis

Project Information

3D Reloaded

Grant agreement ID: 649323

DOI

10.3030/649323

Project closed

EC signature date 5 May 2015

Start date 1 September 2015

End date 31 August 2020

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 000 000,00

EU contribution

€ 2 000 000,00

Coordinated by

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (12)

Hamiltonian Dynamics for Real-World Shape Interpolation

Author(s): Marvin Eisenberger, Daniel Cremers
Published in: European Conference on Computer Vision, 2020
Publisher: Springer

Smooth Shells: Multi-Scale Shape Registration With Functional Maps

Author(s): Marvin Eisenberger, Zorah Lahner, Daniel Cremers
Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 12262-12271, ISBN 978-1-7281-7168-5
Publisher: IEEE
DOI: 10.1109/cvpr42600.2020.01228

Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting

Author(s): Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias NieBner
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 3133-3141, ISBN 978-1-5386-1032-9
Publisher: IEEE
DOI: 10.1109/ICCV.2017.338

A Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting

Author(s): Yvain Queau, Tao Wu, Francois Lauze, Jean-Denis Durou, Daniel Cremers
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 350-359, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.45

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space

Author(s): Matthias Vestner, Roee Litman, Emanuele Rodola, Alex Bronstein, Daniel Cremers
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 6681-6690, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.707

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching

Author(s): Florian Bernard, Frank R. Schmidt, Johan Thunberg, Daniel Cremers
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 1436-1445, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.157

Fast odometry and scene flow from RGB-D cameras based on geometric clustering

Author(s): Mariano Jaimez, Christian Kerl, Javier Gonzalez-Jimenez, Daniel Cremers
Published in: 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, Page(s) 3992-3999, ISBN 978-1-5090-4633-1
Publisher: IEEE
DOI: 10.1109/ICRA.2017.7989459

Multi-view deep learning for consistent semantic mapping with RGB-D cameras

Author(s): Lingni Ma, Jorg Stuckler, Christian Kerl, Daniel Cremers
Published in: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, Page(s) 598-605, ISBN 978-1-5386-2682-5
Publisher: IEEE
DOI: 10.1109/IROS.2017.8202213

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching

Author(s): Zorah Lahner, Emanuele Rodola, Frank R. Schmidt, Michael M. Bronstein, Daniel Cremers
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 2185-2193, ISBN 978-1-4673-8851-1
Publisher: IEEE
DOI: 10.1109/cvpr.2016.240

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups

Author(s): Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers
Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 11145-11153, ISBN 978-1-7281-7168-5
Publisher: IEEE
DOI: 10.1109/cvpr42600.2020.01116

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

Author(s): Sebastian Weiss, Robert Maier, Daniel Cremers, Rudiger Westermann, Nils Thuerey
Published in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 4685-4694, ISBN 978-1-7281-7168-5
Publisher: IEEE
DOI: 10.1109/cvpr42600.2020.00474

Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach

Author(s): Lu Sang, Bjoern Haefner, Daniel Cremers
Published in: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, Page(s) 1-10, ISBN 978-1-7281-6553-0
Publisher: IEEE
DOI: 10.1109/wacv45572.2020.9093491

Peer reviewed articles (8)

LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution

Author(s): Yvain Quéau, Bastien Durix, Tao Wu, Daniel Cremers, François Lauze, Jean-Denis Durou
Published in: Journal of Mathematical Imaging and Vision, Issue 60/3, 2018, Page(s) 313-340, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-017-0761-1

Non-Rigid Puzzles

Author(s): O. Litany, E. Rodolà, A. M. Bronstein, M. M. Bronstein, D. Cremers
Published in: Computer Graphics Forum, Issue 35/5, 2016, Page(s) 135-143, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.12970

Direct Sparse Odometry

Author(s): Jakob Engel, Vladlen Koltun, Daniel Cremers
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 40/3, 2018, Page(s) 611-625, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2017.2658577

A Region-Based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking

Author(s): Henning Tjaden, Ulrich Schwanecke, Elmar Schomer, Daniel Cremers
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 41/8, 2019, Page(s) 1797-1812, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2018.2884990

Visual-Inertial Mapping With Non-Linear Factor Recovery

Author(s): Vladyslav Usenko, Nikolaus Demmel, David Schubert, Jorg Stuckler, Daniel Cremers
Published in: IEEE Robotics and Automation Letters, Issue 5/2, 2020, Page(s) 422-429, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2019.2961227

Divergence‐Free Shape Correspondence by Deformation

Author(s): M. Eisenberger, Z. Lähner, D. Cremers
Published in: Computer Graphics Forum, Issue 38/5, 2019, Page(s) 1-12, ISSN 0167-7055
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/cgf.13785

Variational Reflectance Estimation from Multi-view Images

Author(s): Jean Mélou, Yvain Quéau, Jean-Denis Durou, Fabien Castan, Daniel Cremers
Published in: Journal of Mathematical Imaging and Vision, Issue 60/9, 2018, Page(s) 1527-1546, ISSN 0924-9907
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10851-018-0809-x

From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds

Author(s): Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, Tolga Birdal
Published in: IEEE Robotics and Automation Letters, Issue 5/2, 2020, Page(s) 1764-1771, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2020.2969936