Daniel Barath

According to our database1, Daniel Barath authored at least 39 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
USACv20: robust essential, fundamental and homography matrix estimation.
CoRR, 2021

Progressive-X+: Clustering in the Consensus Space.
CoRR, 2021

Calibrated and Partially Calibrated Semi-Generalized Homographies.
CoRR, 2021

2020
Minimal Solutions for Panoramic Stitching Given Gravity Prior.
CoRR, 2020

Globally Optimal Relative Pose Estimation with Gravity Prior.
CoRR, 2020

Efficient Initial Pose-graph Generation for Global SfM.
CoRR, 2020

Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes.
CoRR, 2020

Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences.
CoRR, 2020

Relative planar motion for vehicle-mounted cameras from a single affine correspondence.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Relative Pose from Deep Learned Depth and a Single Affine Correspondence.
Proceedings of the Computer Vision - ECCV 2020, 2020

Making Affine Correspondences Work in Camera Geometry Computation.
Proceedings of the Computer Vision - ECCV 2020, 2020

EPOS: Estimating 6D Pose of Objects With Symmetries.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MAGSAC++, a Fast, Reliable and Accurate Robust Estimator.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Homography-Based Egomotion Estimation Using Gravity and SIFT Features.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Optimal Multi-View Surface Normal Estimation Using Affine Correspondences.
IEEE Trans. Image Process., 2019

Progressive NAPSAC: sampling from gradually growing neighborhoods.
CoRR, 2019

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Homography From Two Orientation- and Scale-Covariant Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MAGSAC: Marginalizing Sample Consensus.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Optimal Multi-view Correction of Local Affine Frames.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Efficient Recovery of Essential Matrix From Two Affine Correspondences.
IEEE Trans. Image Process., 2018

Efficient energy-based topological outlier rejection.
Comput. Vis. Image Underst., 2018

MAGSAC: marginalizing sample consensus.
CoRR, 2018

Approximate Epipolar Geometry from Six Rotation Invariant Correspondences.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multi-class Model Fitting by Energy Minimization and Mode-Seeking.
Proceedings of the Computer Vision - ECCV 2018, 2018

Graph-Cut RANSAC.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recovering Affine Features from Orientation- and Scale-Invariant Ones.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
A theory of point-wise homography estimation.
Pattern Recognit. Lett., 2017

P-HAF: Homography Estimation using Partial Local Affine Frames.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Novel Ways to Estimate Homography from Local Affine Transformations.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

A Novel Technique for Point-wise Surface Normal Estimation.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Energy-based topological outlier filtering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multi-H: Efficient recovery of tangent planes in stereo images.
Proceedings of the British Machine Vision Conference 2016, 2016

Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Optimal Surface Normal from Affine Transformation.
Proceedings of the VISAPP 2015, 2015

Novel Methods for Estimating Surface Normals from Affine Transformations.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2015


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