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Mikael Persson
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Uncertainty-aware cnns for depth completion: Uncertainty from beginning to end
A Eldesokey, M Felsberg, K Holmquist, M Persson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1082020
Lambda twist: An accurate fast robust perspective three point (p3p) solver
M Persson, K Nordberg
Proceedings of the European conference on computer vision (ECCV), 318-332, 2018
972018
Robust stereo visual odometry from monocular techniques
M Persson, T Piccini, M Felsberg, R Mester
2015 IEEE Intelligent Vehicles Symposium (IV), 686-691, 2015
842015
Good edgels to track: Beating the aperture problem with epipolar geometry
T Piccini, M Persson, K Nordberg, M Felsberg, R Mester
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
112015
Predicting disparity distributions
G Häger, M Persson, M Felsberg
2021 IEEE International Conference on Robotics and Automation (ICRA), 4363-4369, 2021
62021
Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras
A Robinson, M Persson, M Felsberg
International Conference on Computer Analysis of Images and Patterns, 342-353, 2017
52017
Online monocular slam: Rittums
M Persson
42014
Practical pose trajectory splines with explicit regularization
M Persson, G Häger, H Ovrén, PE Forssén
2021 International Conference on 3D Vision (3DV), 156-165, 2021
22021
Visual Odometryin Principle and Practice
M Persson
Linköping University Electronic Press, 2022
12022
Independently Moving Object Trajectories from Sequential Hierarchical Ransac.
M Persson, PE Forssén
VISIGRAPP (5: VISAPP), 722-731, 2021
2021
Tackling Disturbed Depth Maps by Learning Input Data Confidence
A Eldesokey, M Persson, M Felsberg, FS Khan
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Artikelen 1–11