| Gyroscope-based video stabilisation with auto-calibration H Ovrén, PE Forssén 2015 IEEE International Conference on Robotics and Automation (ICRA), 2090-2097, 2015 | 42 | 2015 |
| Efficient multi-frequency phase unwrapping using kernel density estimation F Järemo Lawin, PE Forssén, H Ovrén European Conference on Computer Vision, 170-185, 2016 | 33 | 2016 |
| Trajectory representation and landmark projection for continuous-time structure from motion H Ovrén, PE Forssén The International Journal of Robotics Research 38 (6), 686-701, 2019 | 31 | 2019 |
| Spline Error Weighting for Robust Visual-Inertial Fusion H Ovrén, PE Forssén 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 | 23 | 2018 |
| Why would I want a gyroscope on my RGB-D sensor? H Ovrén, PE Forssén, D Törnqvist 2013 IEEE Workshop on Robot Vision (WORV), 68-75, 2013 | 19 | 2013 |
| Semantic labeling of lidar point clouds for uav applications M Axelsson, M Holmberg, S Serra, H Ovren, M Tulldahl Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| 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 | 3 | 2021 |
| Improving rgb-d scene reconstruction using rolling shutter rectification H Ovrén, PE Forssén, D Törnqvist New Development in Robot Vision, 55-71, 2015 | 3 | 2015 |
| Continuous Models for Cameras and Inertial Sensors H Ovrén PQDT-Global, 2018 | 2 | 2018 |
| Supplemental Material for Paper: Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation FJ Lawin, PE Forssén, H Ovrén | | |
Per-Erik ForssénAssociate Professor in Electrical Engineering, Linköping UniversityVerified email at isy.liu.se